From 2219f4d79ad401ea712264c97d4784fa2e22deaf Mon Sep 17 00:00:00 2001 From: David Hodgson Date: Thu, 5 Dec 2024 12:00:18 +0000 Subject: [PATCH 1/3] updated code for more robustness --- .Rbuildignore | 1 + .gitignore | 3 + .vscode/c_cpp_proporties.json | 38 -- .vscode/settings.json | 8 - DESCRIPTION | 18 +- LICENSE.md | 595 ++++++++++++++++++ NAMESPACE | 46 +- R/add_economics_methods.R | 149 ++++- R/add_programme_methods.R | 143 ++++- R/{ => no_run}/create_data.R | 0 R/programmeClass.R | 115 +++- R/run_methods.R | 56 +- R/utils.R | 39 +- man/RSVProgramme-class.Rd | 63 ++ man/add_economics-RSVProgramme-method.Rd | 32 +- man/add_economics.Rd | 25 + man/add_fitted_dist.Rd | 26 + man/add_programme-RSVProgramme-method.Rd | 19 +- man/add_programme.Rd | 25 + man/calculate_daily_uptake.Rd | 22 +- man/checkout_incidence.Rd | 13 +- man/checkout_states.Rd | 11 +- man/compare_interventions.Rd | 19 + man/convert_efficacies.Rd | 38 ++ man/convert_mat_to_trans_cal.Rd | 42 ++ man/convert_to_outcomes.Rd | 39 ++ man/covert_raw_to_risk.Rd | 38 ++ man/get_coverage.Rd | 24 + man/get_daily_uptake.Rd | 20 +- man/get_efficacies_sample.Rd | 29 + man/output_samples.Rd | 30 +- man/plot_calendar.Rd | 24 +- man/plot_economics.Rd | 24 + man/plot_economics_fit.Rd | 35 ++ man/plot_outcomes.Rd | 27 + man/run-RSVProgramme-method.Rd | 13 +- man/run.Rd | 23 + man/run_state-RSVProgramme-method.Rd | 6 +- man/run_state.Rd | 21 + {tests => old_tests}/testthat.R | 0 .../testthat/test_statevars.R | 0 outputs/E_W2023/figs/compare_fit_costs.png | Bin 327039 -> 326756 bytes outputs/E_W2023/figs/compare_fit_qalys.png | Bin 337273 -> 337451 bytes outputs/E_W2023/figs/compare_fit_risks.png | Bin 317525 -> 317374 bytes .../figs/economics_raw_uncertainty.png | Bin 119414 -> 120373 bytes .../E_W2023/figs/risks_raw_uncertainty.png | Bin 216340 -> 215336 bytes src/RcppExports.o | Bin 124048 -> 124048 bytes src/RunInterventions-6efeedd1.o.tmp | 0 src/RunInterventions.o | Bin 3587304 -> 0 bytes src/rsvie.so | Bin 1453880 -> 0 bytes .../sanity_checks}/sanity_check_base.Rmd | 0 .../sanity_checks}/sanity_check_lav.Rmd | 0 .../sanity_checks}/sanity_check_mabs.Rmd | 0 .../sanity_checks}/sanity_check_mat.Rmd | 0 .../sanity_checks}/sanity_check_vhr.Rmd | 0 vignettes/{example.Rmd => example1.Rmd} | 80 ++- 56 files changed, 1781 insertions(+), 198 deletions(-) create mode 100644 .Rbuildignore create mode 100644 .gitignore delete mode 100644 .vscode/c_cpp_proporties.json delete mode 100644 .vscode/settings.json create mode 100644 LICENSE.md rename R/{ => no_run}/create_data.R (100%) create mode 100644 man/RSVProgramme-class.Rd create mode 100644 man/add_economics.Rd create mode 100644 man/add_fitted_dist.Rd create mode 100644 man/add_programme.Rd create mode 100644 man/compare_interventions.Rd create mode 100644 man/convert_efficacies.Rd create mode 100644 man/convert_mat_to_trans_cal.Rd create mode 100644 man/convert_to_outcomes.Rd create mode 100644 man/covert_raw_to_risk.Rd create mode 100644 man/get_coverage.Rd create mode 100644 man/get_efficacies_sample.Rd create mode 100644 man/plot_economics.Rd create mode 100644 man/plot_economics_fit.Rd create mode 100644 man/plot_outcomes.Rd create mode 100644 man/run.Rd create mode 100644 man/run_state.Rd rename {tests => old_tests}/testthat.R (100%) rename {tests => old_tests}/testthat/test_statevars.R (100%) delete mode 100644 src/RunInterventions-6efeedd1.o.tmp delete mode 100644 src/RunInterventions.o delete mode 100755 src/rsvie.so rename {vignettes => vig_working/sanity_checks}/sanity_check_base.Rmd (100%) rename {vignettes => vig_working/sanity_checks}/sanity_check_lav.Rmd (100%) rename {vignettes => vig_working/sanity_checks}/sanity_check_mabs.Rmd (100%) rename {vignettes => vig_working/sanity_checks}/sanity_check_mat.Rmd (100%) rename {vignettes => vig_working/sanity_checks}/sanity_check_vhr.Rmd (100%) rename vignettes/{example.Rmd => example1.Rmd} (74%) diff --git a/.Rbuildignore b/.Rbuildignore new file mode 100644 index 0000000..5163d0b --- /dev/null +++ b/.Rbuildignore @@ -0,0 +1 @@ +^LICENSE\.md$ diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..aa004a4 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +src/rsvie.so +src/RunInterventions.o +src/RcppExports.o \ No newline at end of file diff --git a/.vscode/c_cpp_proporties.json b/.vscode/c_cpp_proporties.json deleted file mode 100644 index d4d513a..0000000 --- a/.vscode/c_cpp_proporties.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "configurations": [ - { - "name": "Linux", - "includePath": [ - "${workspaceFolder}/**", - "${workspaceFolder}/src", - "${env:HOME}/R/x86_64-pc-linux-gnu-library/4.2/Rcpp/include", - "/usr/share/R/include" - ], - "defines": [], - "compilerPath": "/usr/bin/gcc", - "cStandard": "c17", - "cppStandard": "c++17" - }, - { - "name": "Mac", - "includePath": [ - "${workspaceFolder}/**", - "${workspaceFolder}/src", - "/Library/Frameworks/R.framework/Versions/4.2/Resources/library/Rcpp/include", - "/Library/Frameworks/R.framework/Resources/include", - "/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include", - "/usr/local/include" - ], - "defines": [], - "macFrameworkPath": [ - "/System/Library/Frameworks", - "/Library/Frameworks" - ], - "compilerPath": "/usr/bin/clang", - "cStandard": "c21", - "cppStandard": "c++21" - } - ], - - "version": 4 -} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json deleted file mode 100644 index 908eca2..0000000 --- a/.vscode/settings.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "files.associations": { - "vector": "cpp", - "ios": "cpp", - "cmath": "cpp", - "ostream": "cpp" - } -} \ No newline at end of file diff --git a/DESCRIPTION b/DESCRIPTION index 51212ec..e05b600 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -5,21 +5,20 @@ Authors@R: person("David", "Hodgson", , "david.hodgson@lshtm.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "YOUR-ORCID-ID")) Description: What the package does (one paragraph). -License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a - license +License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) -RoxygenNote: 7.2.3 +RoxygenNote: 7.3.2 Depends: R (>= 4.2) Imports: + methods, here, lubridate, ggplot2, Rcpp, patchwork, RcppEigen, - Rcpp, dplyr, forcats, tidyr, @@ -27,14 +26,17 @@ Imports: RColorBrewer, EnvStats, BH, - magrittr + magrittr, + data.table, + furrr, + future, + purrr, + readr, + stringr Suggests: - gifski, - learnr, usethis, roxygen2, devtools, - magrittr, testthat (>= 3.0.0) LinkingTo: Rcpp, diff --git a/LICENSE.md b/LICENSE.md new file mode 100644 index 0000000..175443c --- /dev/null +++ b/LICENSE.md @@ -0,0 +1,595 @@ +GNU General Public License +========================== + +_Version 3, 29 June 2007_ +_Copyright © 2007 Free Software Foundation, Inc. <>_ + +Everyone is permitted to copy and distribute verbatim copies of this license +document, but changing it is not allowed. + +## Preamble + +The GNU General Public License is a free, copyleft license for software and other +kinds of works. + +The licenses for most software and other practical works are designed to take away +your freedom to share and change the works. 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If the Program specifies that +a certain numbered version of the GNU General Public License “or any later +version” applies to it, you have the option of following the terms and +conditions either of that numbered version or of any later version published by the +Free Software Foundation. If the Program does not specify a version number of the GNU +General Public License, you may choose any version ever published by the Free +Software Foundation. + +If the Program specifies that a proxy can decide which future versions of the GNU +General Public License can be used, that proxy's public statement of acceptance of a +version permanently authorizes you to choose that version for the Program. + +Later license versions may give you additional or different permissions. However, no +additional obligations are imposed on any author or copyright holder as a result of +your choosing to follow a later version. + +### 15. Disclaimer of Warranty + +THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. +EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES +PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER +EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF +MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE +QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE +DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. + +### 16. Limitation of Liability + +IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY +COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS +PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, +INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE +PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE +OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE +WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE +POSSIBILITY OF SUCH DAMAGES. + +### 17. Interpretation of Sections 15 and 16 + +If the disclaimer of warranty and limitation of liability provided above cannot be +given local legal effect according to their terms, reviewing courts shall apply local +law that most closely approximates an absolute waiver of all civil liability in +connection with the Program, unless a warranty or assumption of liability accompanies +a copy of the Program in return for a fee. + +_END OF TERMS AND CONDITIONS_ + +## How to Apply These Terms to Your New Programs + +If you develop a new program, and you want it to be of the greatest possible use to +the public, the best way to achieve this is to make it free software which everyone +can redistribute and change under these terms. + +To do so, attach the following notices to the program. It is safest to attach them +to the start of each source file to most effectively state the exclusion of warranty; +and each file should have at least the “copyright” line and a pointer to +where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + +If the program does terminal interaction, make it output a short notice like this +when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type 'show c' for details. + +The hypothetical commands `show w` and `show c` should show the appropriate parts of +the General Public License. Of course, your program's commands might be different; +for a GUI interface, you would use an “about box”. + +You should also get your employer (if you work as a programmer) or school, if any, to +sign a “copyright disclaimer” for the program, if necessary. For more +information on this, and how to apply and follow the GNU GPL, see +<>. + +The GNU General Public License does not permit incorporating your program into +proprietary programs. If your program is a subroutine library, you may consider it +more useful to permit linking proprietary applications with the library. If this is +what you want to do, use the GNU Lesser General Public License instead of this +License. But first, please read +<>. diff --git a/NAMESPACE b/NAMESPACE index d29af35..ae977cc 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,20 +1,22 @@ # Generated by roxygen2: do not edit by hand export(add_economics) +export(add_fitted_dist) export(add_programme) export(calculate_daily_uptake) export(checkout_incidence) export(checkout_states) export(compare_interventions) +export(convert_efficacies) export(convert_to_outcomes) export(covert_raw_to_risk) -export(get_efficacies_sample) +export(get_coverage) +export(get_daily_uptake) export(make_RunInterventions) export(make_rsv_programme) export(output_samples) export(plot_calendar) export(plot_economics) -export(plot_economics_fit) export(plot_outcomes) export(run) export(run_state) @@ -23,16 +25,48 @@ exportMethods(add_economics) exportMethods(add_programme) exportMethods(run) exportMethods(run_state) -import(data.table) import(dplyr) import(furrr) import(future) import(ggplot2) -import(lubridate) +import(here) import(purrr) import(readr) -import(stringr) -importFrom(EnvStats,rtri) +import(tidyr) +importFrom(data.table,as.data.table) +importFrom(dplyr,"%>%") +importFrom(dplyr,bind_cols) +importFrom(dplyr,bind_rows) +importFrom(dplyr,filter) +importFrom(dplyr,mutate) +importFrom(dplyr,rename_with) +importFrom(dplyr,select) +importFrom(ggplot2,aes) +importFrom(ggplot2,facet_grid) +importFrom(ggplot2,facet_wrap) +importFrom(ggplot2,geom_boxplot) +importFrom(ggplot2,geom_line) +importFrom(ggplot2,geom_ribbon) +importFrom(ggplot2,geom_tile) +importFrom(ggplot2,ggplot) +importFrom(ggplot2,ggsave) +importFrom(ggplot2,labs) +importFrom(ggplot2,scale_fill_gradient) +importFrom(ggplot2,scale_y_continuous) +importFrom(ggplot2,theme) +importFrom(ggplot2,theme_bw) +importFrom(here,here) +importFrom(lubridate,dmy) +importFrom(lubridate,yday) +importFrom(lubridate,year) +importFrom(lubridate,ymd) +importFrom(magrittr,"%>%") importFrom(magrittr,`%>%`) +importFrom(purrr,map) +importFrom(purrr,map_dbl) +importFrom(purrr,map_df) +importFrom(stats,optim) +importFrom(stats,quantile) importFrom(tidyr,pivot_longer) +importFrom(utils,read.table) useDynLib(rsvie) diff --git a/R/add_economics_methods.R b/R/add_economics_methods.R index 37bd9ff..a40f161 100644 --- a/R/add_economics_methods.R +++ b/R/add_economics_methods.R @@ -1,6 +1,23 @@ -## Add uncertainty to costs and qalys +#' Add Fitted Distribution to Data Frame +#' +#' This function fits a specified distribution to the data in a given data frame and adds the fitted distribution as a new column. +#' +#' @param cost_df A data frame containing the data to which the distribution will be fitted. The data frame should have columns named "mean", "lb_95", and "ub_95". +#' @param dist A character string specifying the distribution to fit. The distribution should be one of the distributions supported by the `q` function in R (e.g., "norm" for normal distribution, "tri" for triangular distribution). +#' +#' @return A data frame with an additional column named `fitt_dist` containing the fitted distribution for each row. +#' +#' @examples +#' \dontrun{ +#' cost_df <- data.frame(mean = c(10, 20), lb_95 = c(5, 15), ub_95 = c(15, 25)) +#' add_fitted_dist(cost_df, "norm") +#' } +#' +#' @importFrom stats optim +#' @importFrom purrr map_dbl +#' @importFrom dplyr %>% +#' @export add_fitted_dist <- function(cost_df, dist) { - fitdist_ci <- function(pars, data, dist) { qs <- c(0.025, 0.5, 0.975); 1:3 %>% map_dbl(~ (dist(qs[.x], pars[1], pars[2]) - data[.x])^2) %>% sum } @@ -25,34 +42,47 @@ add_fitted_dist <- function(cost_df, dist) { cost_df } -#' @title Convert mean and ci into samples from a fitted distribution + +#' Generate and output samples for economic and risk data #' -#' @description Convert mean and ci into samples from a fitted distribution. -#' @param econ_raw a dataframe with the economic parameters per age group. -#' @param risks_raw a dataframe with the risk of outcomes per age group. +#' This function processes raw economic and risk data, fits distributions to the data, +#' generates samples, and outputs the results to a specified file. +#' +#' @param econ_raw A data frame containing raw economic data with columns for age group, outcome, reference QALYs, mean QALYs, lower bound QALYs, and upper bound QALYs. +#' @param risks_raw A data frame containing raw risk data. +#' @param file.name A string specifying the name of the output file. +#' +#' @return A list containing sampled outcomes for risks, QALYs, and costs. +#' +#' @details +#' The function performs the following steps: +#' \itemize{ +#' \item Fits triangular distributions to the risk, QALY, and cost data. +#' \item Generates samples for each outcome using the fitted distributions. +#' \item Outputs the sampled outcomes to the specified file. +#' } +#' +#' @examples +#' \dontrun{ +#' econ_raw <- read.csv("economic_data.csv") +#' risks_raw <- read.csv("risk_data.csv") +#' output_samples(econ_raw, risks_raw, "output_samples.csv") +#' } #' -#' @import stringr -#' @import dplyr -#' @import ggplot2 -#' @import purrr -#' @importFrom EnvStats rtri #' @export output_samples <- function(econ_raw, risks_raw, file.name) { + require(EnvStats) + risks_uncert <- add_fitted_dist(risks_raw, "tri") qalys_raw <- econ_raw %>% select(age_group, outcome, ref_qaly, mean_qaly, lb_95_qaly, ub_95_qaly) %>% - rename_with(~ str_remove(., "_qaly")) + rename_with(~ stringr::str_remove(., "_qaly")) costs_raw <- econ_raw %>% select(age_group, outcome, ref_costs, mean_costs, lb_95_costs, ub_95_costs) %>% - rename_with(~ str_remove(., "_costs")) + rename_with(~ stringr::str_remove(., "_costs")) costs_uncert <- add_fitted_dist(costs_raw, "tri") qalys_uncert <- add_fitted_dist(qalys_raw, "tri") - # inner workings - # write.csv(risks_uncert, file = here::here("data", "inner_workings", paste0("outcome_risks_", file.name,"_dist.csv"))) - # write.csv(qalys_uncert, file = here::here("data", "inner_workings", "outcome_qalys_dist.csv")) - # write.csv(costs_uncert, file = here::here("data", "inner_workings", "outcome_costs_dist.csv")) - run_samples_outcomes <- function(df_uncert, type = "risk") { outcomes <- df_uncert$outcome %>% unique risk_samples <- list() @@ -82,6 +112,24 @@ output_samples <- function(econ_raw, risks_raw, file.name) { } +#' @title Plot Economics Data +#' @description This function generates and saves plots for economic data, risks data, and very high-risk data from the given object. +#' @param object An object containing economic data frames (`econ_df`, `risks_df`, `risks_vhr_df`) and an economic name (`econ_name`). +#' @details The function performs the following steps: +#' \itemize{ +#' \item Checks if the directory for saving plots exists, and creates it if it does not. +#' \item Processes the economic data frame (`econ_df`) to create a combined data frame for QALY loss and Costs. +#' \item Generates and saves a plot for the economic data with uncertainty ribbons and lines. +#' \item Generates and saves a plot for the risks data with uncertainty ribbons and lines. +#' \item Generates and saves a plot for the very high-risk data with lines. +#' } +#' @import ggplot2 +#' @import dplyr +#' @import here +#' @importFrom magrittr %>% +#' @importFrom ggplot2 ggplot geom_ribbon geom_line facet_grid scale_y_continuous labs theme_bw ggsave +#' @importFrom dplyr bind_rows rename_with mutate filter +#' @importFrom here here #' @export plot_economics <- function(object) { @@ -98,7 +146,7 @@ plot_economics <- function(object) { mutate(econ_metric = "QALY loss"), object@econ_df[, c(1:2, 7:10)] %>% rename_with(~gsub("_costs$", "", .), c("ref_costs", "mean_costs", "lb_95_costs", "ub_95_costs")) %>% - mutate(econ_metric = "Costs (£)") + mutate(econ_metric = "Costs (GBP)") ) @@ -134,7 +182,39 @@ plot_economics <- function(object) { } -#' @export + + +#' @title Plot Economic Fit +#' +#' @description This function generates and saves plots comparing fitted distributions to reference data for risks, QALYs, and costs across different age groups. +#' +#' @param object An S4 object containing economic data and model outcomes. +#' +#' @details The function performs the following steps: +#' \itemize{ +#' \item Checks if the directory for saving plots exists, and creates it if it doesn't. +#' \item Extracts unique age groups from the economic data. +#' \item Defines a helper function to extract mean and 95% uncertainty intervals for model outcomes. +#' \item Extracts fitted model outcomes for risks, QALYs, and costs. +#' \item Prepares data frames for risks, QALYs, and costs by merging reference data with fitted model outcomes. +#' \item Defines a helper function to convert data frames to long format for plotting. +#' \item Converts the prepared data frames to long format. +#' \item Generates and saves plots comparing fitted model outcomes to reference data for risks, QALYs, and costs. +#' } +#' +#' @return None. The function saves the generated plots to the specified directory. +#' +#' @import dplyr +#' @import ggplot2 +#' @import purrr +#' @import here +#' @importFrom stats quantile +#' @importFrom dplyr bind_cols +#' +#' @examples +#' \dontrun{ +#' plot_economics_fit(my_economic_model) +#' } plot_economics_fit <- function(object) { if (!dir.exists(here::here("outputs", object@econ_name, "figs"))) { @@ -209,6 +289,35 @@ plot_economics_fit <- function(object) { } + +#' Convert Raw Outcomes to Risk +#' +#' This function converts raw outcome data to risk metrics based on population data and model cases sample mean. +#' +#' @param object An object containing UK population data. +#' @param outcomes_raw A data frame containing raw outcome data. +#' @param model_cases_sample_mean A data frame containing model cases sample mean. +#' +#' @return A data frame with calculated risk metrics for each age group and outcome. +#' +#' @details +#' The function performs the following steps: +#' \itemize{ +#' \item Extracts population and age group data from the input object. +#' \item Defines helper functions to check the completeness of data and calculate risk per infection. +#' \item Checks that each outcome has data for all age groups. +#' \item Combines raw outcomes data with model cases data and population data. +#' \item Calculates the risk per infection for each outcome and age group. +#' } +#' +#' @examples +#' \dontrun{ +#' result <- covert_raw_to_risk(object, outcomes_raw, model_cases_sample_mean) +#' print(result) +#' } +#' +#' @import dplyr +#' @import tidyr #' @export covert_raw_to_risk <- function(object, outcomes_raw, model_cases_sample_mean) { diff --git a/R/add_programme_methods.R b/R/add_programme_methods.R index 557f57d..cbbc9e5 100644 --- a/R/add_programme_methods.R +++ b/R/add_programme_methods.R @@ -1,12 +1,19 @@ - - -#' @title Convert daily uptake from calendar to model -#' -#' @description Convert mean and ci into samples from a fitted distribution. -#' @param object am S4 class of the defined RSV programme -#' @param cal_df a dataframe of a calendar being evaluated -#' -#' @import lubridate +#' @title Calculate Daily Uptake +#' @description This function calculates the daily uptake for different age groups based on the provided calibration data frame. +#' @param object An object containing the UK data with age group boundaries. +#' @param cal_df A data frame containing the start and end dates, and uptake types for each age group. +#' @return A matrix with 365 rows (days) and 25 columns (age groups) representing the daily uptake. +#' @details The function processes each age group, calculates the start and end positions within the year, and fills the uptake matrix accordingly. +#' Different uptake types such as "linear", "birth_rate", "flu_oa", and "oa_2425" are handled. +#' @examples +#' \dontrun{ +#' object <- your_object_with_uk_data +#' cal_df <- your_calibration_data_frame +#' daily_uptake_matrix <- calculate_daily_uptake(object, cal_df) +#' } +#' @importFrom lubridate dmy ymd year yday +#' @importFrom magrittr %>% +#' @importFrom utils read.table #' @export calculate_daily_uptake <- function(object, cal_df) { @@ -66,13 +73,20 @@ calculate_daily_uptake <- function(object, cal_df) { } -#' Function to convert a custom weekly uptake vector into a daily uptake calendar -#' -#' @param up_week_raw A vector of weekly uptake proportions -#' @param start_time Start week when administration occurs -#' @return A vector of the daily proportion of a target group which are vaccinated. -get_daily_uptake <- function(up_week_raw, start_time) -{ +#' @title Calculate Daily Uptake from Weekly Data +#' @description This function calculates the daily uptake based on weekly uptake data. +#' @param up_week_raw A numeric vector containing the weekly uptake data. +#' @param start_time An integer representing the start time in days. +#' @return A numeric vector of length 365 representing the daily uptake. +#' @details The function first processes the weekly data to fill a weekly uptake vector, then calculates the daily uptake by interpolating the weekly data. +#' @examples +#' \dontrun{ +#' up_week_raw <- c(0.1, 0.2, 0.3, 0.4, 0.5) +#' start_time <- 1 +#' daily_uptake <- get_daily_uptake(up_week_raw, start_time) +#' } +#' @export +get_daily_uptake <- function(up_week_raw, start_time) { up_week <- vector("numeric", length = 52) up_day <- vector("numeric", length = 365) for (k in (start_time):(start_time + 20)) { @@ -82,19 +96,39 @@ get_daily_uptake <- function(up_week_raw, start_time) } for (i in 1:365) { - pos_day <- (i - 1 + start_time) %% 365 + 1; - up_day[pos_day] <- (up_week[((i / 7 + start_time) %% 52) + 1] - up_week[((i / 7 - 1 + start_time) %% 52) + 1]) / 7.0; + pos_day <- (i - 1 + start_time) %% 365 + 1 + up_day[pos_day] <- (up_week[((i / 7 + start_time) %% 52) + 1] - up_week[((i / 7 - 1 + start_time) %% 52) + 1]) / 7.0 if (up_day[pos_day] < 0) up_day[pos_day] <- 0 } up_day } -#' @title function to plot the dosing calendar of the RSVprogramme] -#' -#' @param object an RSVProgramme object -#' @import dplyr -#' @return none + + +#' @title Plot Dosing Calendar +#' @description This function generates and saves a plot of the dosing calendar for different age groups. +#' @param object An object containing the dosing calendar and other relevant data. +#' @details The function performs the following steps: +#' \itemize{ +#' \item Checks if the directory for saving the plot exists, and creates it if it does not. +#' \item Extracts unique age groups from the economic data frame within the object. +#' \item Updates the column names of the dose calendar matrices to match the age groups. +#' \item Converts the dose calendar matrices into a data frame suitable for plotting. +#' \item Generates a ggplot of the dosing calendar, with days of the year on the x-axis, age groups on the y-axis, and the proportion of doses as the fill color. +#' \item Saves the plot as a PNG file in the specified directory. +#' } +#' @importFrom here here +#' @importFrom ggplot2 ggplot geom_tile facet_wrap scale_fill_gradient theme_bw theme labs ggsave +#' @importFrom dplyr mutate +#' @importFrom tidyr pivot_longer +#' @importFrom purrr map map_df +#' @importFrom magrittr %>% +#' @return None +#' @examples +#' \dontrun{ +#' plot_calendar(my_object) +#' } #' @export plot_calendar <- function(object) { if (!dir.exists(here::here("outputs", "extra", object@prog_name, "figs"))) { @@ -123,6 +157,25 @@ plot_calendar <- function(object) { } + +#' Convert Matrices to Transmission Calendar +#' +#' This function converts dose and sero matrices into a transmission calendar based on the provided immune profile. +#' +#' @param all_dose A matrix representing all doses. +#' @param all_sero A matrix representing all sero values. +#' @param cal_vhr A calendar matrix for very high risk (VHR) individuals. +#' @param daily_uptake_vhr A matrix representing daily uptake for VHR individuals. +#' @param cal A calendar matrix for the general population. +#' @param daily_uptake A matrix representing daily uptake for the general population. +#' @param immune_profile A list containing immune profiles for VHR and general population. +#' +#' @details +#' The function first creates a VHR calendar if the immune profile for VHR is not "none". It then calculates the sero and dose models using the `get_sero_dose_cals` helper function. The results are stored in the `all_sero` and `all_dose` matrices. +#' +#' The `get_sero_dose_cals` function calculates the dose and sero models based on the provided calendar, daily uptake, and immune profile. It considers different sero delays and coverage values. +#' +#' @return A list containing updated `dose` and `sero` matrices. convert_mat_to_trans_cal <- function(all_dose, all_sero, cal_vhr, daily_uptake_vhr, cal, daily_uptake, immune_profile) { @@ -206,6 +259,37 @@ convert_mat_to_trans_cal <- function(all_dose, all_sero, cal_vhr, daily_uptake_v list(dose = all_dose, sero = all_sero) } + + +#' Convert Immune Profile to Efficacies +#' +#' This function takes an immune profile and converts it into a list of efficacies for different products. +#' +#' @param immune_profile A list containing immune profile information. It should have the following structure: +#' \describe{ +#' \item{vhr}{A list with element \code{b} representing the efficacy for very high risk (VHR) individuals.} +#' \item{mass}{A list with elements \code{b} and \code{product} representing the efficacy and product type for mass immunization. The \code{product} can be "lav", "mab", or "mat".} +#' } +#' +#' @return A list with the following elements: +#' \describe{ +#' \item{mab_vhr}{Efficacy for monoclonal antibodies (MAB) in very high risk individuals.} +#' \item{mab_mass}{Efficacy for monoclonal antibodies (MAB) in mass immunization.} +#' \item{lav_mass}{Efficacy for live attenuated vaccines (LAV) in mass immunization.} +#' \item{mat_mass}{Efficacy for maternal antibodies (MAT) in mass immunization.} +#' } +#' +#' @details +#' The function initializes the efficacy list with zeros. It then checks if the immune profile contains efficacy values for VHR and mass immunization and updates the efficacy list accordingly. +#' +#' @examples +#' immune_profile <- list( +#' vhr = list(b = 0.8), +#' mass = list(b = 0.6, product = "lav") +#' ) +#' convert_efficacies(immune_profile) +#' +#' @export convert_efficacies <- function(immune_profile) { # add info on waning rates here efficacy_list <- list( @@ -230,6 +314,17 @@ convert_efficacies <- function(immune_profile) { efficacy_list } + +#' @title Get Coverage +#' @description This function calculates the coverage based on the immune profile mass and calibration data. +#' @param immune_profile_mass A data frame containing the immune profile mass information. +#' @param cal A data frame containing the calibration data. +#' @return The coverage value. If the product in the immune profile mass is "mat", it returns the mean of the positive coverage values from the calibration data. Otherwise, it returns 0. +#' @examples +#' immune_profile_mass <- data.frame(product = "mat") +#' cal <- data.frame(cov = c(0.1, 0.2, 0, -0.1)) +#' get_coverage(immune_profile_mass, cal) +#' @export get_coverage <- function(immune_profile_mass, cal) { if(immune_profile_mass$product == "mat") { cov <- mean(cal$cov[cal$cov > 0]) @@ -237,4 +332,4 @@ get_coverage <- function(immune_profile_mass, cal) { cov <- 0 } cov -} +} \ No newline at end of file diff --git a/R/create_data.R b/R/no_run/create_data.R similarity index 100% rename from R/create_data.R rename to R/no_run/create_data.R diff --git a/R/programmeClass.R b/R/programmeClass.R index 395d1d5..e357f4b 100644 --- a/R/programmeClass.R +++ b/R/programmeClass.R @@ -1,4 +1,31 @@ # Define the S4 class for the RSV intervention programme +#' @title RSVProgramme Class +#' @description A class to represent an RSV (Respiratory Syncytial Virus) Programme. +#' @slot econ_name A character string representing the economic name. +#' @slot prog_name A character string representing the programme name. +#' @slot model An object of class refClass representing the model. +#' @slot uk_data A list containing UK data. +#' @slot model_par A list of model parameters. +#' @slot econ_par A list of economic parameters. +#' @slot model_calendar A list representing the model calendar. +#' @slot dose_calendar A list representing the dose calendar. +#' @slot immune_profile A list representing the immune profile. +#' @slot econ_df A data.frame containing economic data. +#' @slot risks_df A data.frame containing risk data. +#' @slot risks_vhr_df A data.frame containing very high risk data. +#' @slot outcomes_vec A vector of outcomes. +#' @slot post A data.frame containing posterior data. +#' @slot seeds A vector of seeds. +#' @slot S A numeric value. +#' @slot raw_inci A list of raw incidence data. +#' @slot wane_func_string A character string representing the waning function. +#' @slot wane_func_string_vhr A character string representing the waning function for very high risk. +#' @slot outcomes A list of outcomes. +#' @slot samples_outcomes A list of sample outcomes. +#' @slot samples_outcomes_VHR A list of sample outcomes for very high risk. +#' @slot efficacies A vector of efficacies. +#' @slot cov_mat A numeric matrix representing the covariance matrix. +#' @slot full_output A logical value indicating whether to produce full output. #' @export setClass( "RSVProgramme", @@ -123,18 +150,42 @@ make_rsv_programme <- function(S = 10) { ) } + +#' @title Add Economics Data to an Object +#' @description This generic function is used to add economics data to a specified object. +#' @param object The object to which the economics data will be added. +#' @param econ_name A character string representing the name of the economics data. +#' @param econ_raw The raw economics data to be added. +#' @param risks_raw The raw risks data associated with the economics data. +#' @param risks_vhr_raw The raw very high risk data associated with the economics data. +#' @return The object with the added economics data. #' @export setGeneric("add_economics", function(object, econ_name, econ_raw, risks_raw, risks_vhr_raw) { standardGeneric("add_economics") }) -#' @title A setMethod for the `add_economics` function -#' -#' @param econ_name a string for the name gven the economic framework given -#' @param econ_raw a dataframe with the economic parameters per age group. -#' @param risks_raw a dataframe with the risk of outcomes per age group. -#' @param risks_vhr_raw a dataframe with the risk of outcomes per age group for very-high-risk infants -#' @return An RSVProgramme object + +#' @title Add Economics Data to RSVProgramme Object +#' @description This method adds economic data to an RSVProgramme object. +#' @param object An object of class \code{RSVProgramme}. +#' @param econ_name A character string representing the name of the economic data. +#' @param econ_raw A data frame containing the raw economic data. +#' @param risks_raw A data frame containing the raw risks data. +#' @param risks_vhr_raw A data frame containing the raw very high risk (VHR) data. +#' @return The updated \code{RSVProgramme} object with the added economic data. +#' @details This method performs the following steps: +#' \itemize{ +#' \item Checks if the output directory for the economic data exists, and creates it if it does not. +#' \item Assigns the provided economic data and risk data to the corresponding slots in the \code{RSVProgramme} object. +#' \item Extracts unique outcomes from the economic data and assigns them to the \code{outcomes_vec} slot. +#' \item Stops execution if no outcomes are detected in the economic data. +#' \item Generates samples of outcomes and assigns them to the \code{samples_outcomes} and \code{samples_outcomes_VHR} slots. +#' } +#' @examples +#' \dontrun{ +#' rsv_programme <- new("RSVProgramme") +#' rsv_programme <- add_economics(rsv_programme, "econ_data", econ_raw_df, risks_raw_df, risks_vhr_raw_df) +#' } #' @export setMethod("add_economics", signature(object = "RSVProgramme"), function(object, econ_name, econ_raw, risks_raw, risks_vhr_raw) { @@ -157,19 +208,30 @@ setMethod("add_economics", signature(object = "RSVProgramme"), } ) + +#' @title Add Programme +#' @description This function is a generic method for adding a programme to an object. +#' @param object The object to which the programme will be added. +#' @param prog_name The name of the programme to be added. +#' @param cal The calendar associated with the programme. +#' @param cal_vhr The calendar with very high resolution associated with the programme. +#' @param immune_profile The immune profile associated with the programme. +#' @return The object with the added programme. #' @export setGeneric("add_programme", function(object, prog_name, cal, cal_vhr, immune_profile) { standardGeneric("add_programme") }) -#' @title A setMethod for the `add_programme` function -#' -#' @param prog_name an integer taking the number of Monte Carlo samples to run over -#' @param cal a dataframe with the implementation calendar for the population -#' @param cal_vhr dataframe with the implementation calendar for the very-high-risk population -#' @param immune_profile a list with information about the immune asumptions if the prophylatic in the programme -#' @return An RSVProgramme object +#' @title Add Programme to RSVProgramme Object +#' @description This method adds a programme to an RSVProgramme object, setting various attributes and creating necessary directories. +#' @param object An object of class \code{RSVProgramme}. +#' @param prog_name A character string representing the name of the programme. +#' @param cal A calendar object used for the programme. +#' @param cal_vhr A calendar object for very high-risk (VHR) groups. +#' @param immune_profile A list containing the immune profile information. +#' @return The updated \code{RSVProgramme} object with the new programme added. +#' @details This function sets the programme name, checks and creates necessary directories, initializes dose and sero matrices, calculates daily uptake, converts matrices to transmission calendars, and sets various attributes in the \code{RSVProgramme} object. #' @export setMethod("add_programme", signature(object = "RSVProgramme"), function(object, prog_name, cal, cal_vhr, immune_profile) { @@ -217,6 +279,14 @@ setMethod("add_programme", signature(object = "RSVProgramme"), } ) + +#' @title Run Method +#' @description Generic function to execute a specific operation. +#' @param object The object on which the operation is performed. +#' @param direct A logical value indicating whether to run the operation directly. +#' @param filename An optional character string specifying the filename. +#' @param yr_num An integer specifying the number of years, default is 2. +#' @return The result of the operation. #' @export setGeneric("run", function(object, direct = FALSE, filename = NULL, yr_num = 2) { standardGeneric("run") @@ -224,8 +294,10 @@ setGeneric("run", function(object, direct = FALSE, filename = NULL, yr_num = 2) #' @title A setMethod for the `run` function #' -#' @param object RSVProgramme object -#' @return An RSVProgramme object +#' @param object The object on which the operation is performed. +#' @param direct A logical value indicating whether to run the operation directly. +#' @param filename An optional character string specifying the filename. +#' @param yr_num An integer specifying the number of years, default is 2.#' @return An RSVProgramme object #' @import furrr #' @import future #' @export @@ -268,6 +340,13 @@ setMethod("run", signature(object = "RSVProgramme"), } ) + +#' @title Run State Generic Function +#' @description This is a generic function for running a state. +#' @param object An object on which the state is to be run. +#' @param S_i An integer representing the state index. Default is 1. +#' @param direct A logical value indicating whether to run the state directly. Default is FALSE. +#' @return The result of the state run, depending on the method implementation. #' @export setGeneric("run_state", function(object, S_i = 1, direct = FALSE) { standardGeneric("run_state") @@ -275,7 +354,9 @@ setGeneric("run_state", function(object, S_i = 1, direct = FALSE) { #' @title A setMethod for the `run_state` function #' -#' @param object RSVProgramme object +#' @param object An object on which the state is to be run. +#' @param S_i An integer representing the state index. Default is 1. +#' @param direct A logical value indicating whether to run the state directly. Default is FALSE. #' @return a matrix with all the values of the state variables in the dynamic transmission model #' @export setMethod("run_state", signature(object = "RSVProgramme"), diff --git a/R/run_methods.R b/R/run_methods.R index df53b9f..d6599c8 100644 --- a/R/run_methods.R +++ b/R/run_methods.R @@ -1,3 +1,25 @@ +#' @title Convert to Outcomes +#' @description This function processes an object to calculate various health outcomes over time. +#' @param object An object containing the necessary data for processing. +#' @param yrsum An integer specifying the number of years to summarize. Default is 2. +#' @return A list containing the following elements: +#' \item{outcomes}{A data frame with weekly outcomes by age group.} +#' \item{costs}{A data frame with discounted costs by outcome and age group.} +#' \item{qaly}{A data frame with discounted quality-adjusted life years (QALYs) by outcome and age group.} +#' \item{doses}{A vector containing the number of doses administered.} +#' @details The function performs the following steps: +#' \enumerate{ +#' \item Extracts necessary data from the input object. +#' \item Calculates the proportion of individuals in different states over time. +#' \item Estimates the incidence of various health outcomes for vaccinated and unvaccinated groups. +#' \item Computes the protected incidence for different health outcomes. +#' \item Aggregates the results to provide weekly outcomes, costs, and QALYs by age group. +#' \item Applies discounting to costs and QALYs. +#' } +#' @examples +#' \dontrun{ +#' result <- convert_to_outcomes(my_object, yrsum = 3) +#' } #' @export convert_to_outcomes <- function(object, yrsum = 2) { @@ -96,7 +118,9 @@ convert_to_outcomes <- function(object, yrsum = 2) { # Get the risk, incidence, costs and qalys outcome_per_sample <- list() + cat("S: ", S, "\n") for (s in 1:S) { + cat("HERE") outcome_per_sample[[s]] <- outcomes_vec %>% map_df( function(x) { @@ -117,6 +141,7 @@ convert_to_outcomes <- function(object, yrsum = 2) { } outcomes_week_age <- outcome_per_sample %>% bind_rows + cat(str(outcomes_week_age)) dis_qaly_df <- outcomes_week_age %>% mutate(qaly = qaly * exp(-(week_no * discount_rate / 52.0))) %>% group_by(outcome, age_group, s) %>% summarise(qaly = sum(qaly)) dis_cost_df <- outcomes_week_age %>% mutate(cost = cost * exp(-(week_no * discount_rate / 52.0))) %>% group_by(outcome, age_group, s) %>% summarise(cost = sum(cost)) @@ -139,6 +164,23 @@ convert_to_outcomes <- function(object, yrsum = 2) { outcomes } + +#' @title Plot Outcomes +#' @description This function loads the run outputs from a specified file, extracts the outcomes data, and creates a boxplot of costs and QALY (Quality-Adjusted Life Year) outcomes. The plot is saved as a PNG file. +#' @param object An S4 object that contains the program name and outcomes data. +#' @return A ggplot object representing the boxplot of costs and QALY outcomes. +#' @details The function performs the following steps: +#' \itemize{ +#' \item Loads the run outputs from a file located in the "outputs" directory. +#' \item Extracts the outcomes data from the loaded object. +#' \item Binds the costs and QALY data into a single data frame. +#' \item Creates a boxplot of the costs and QALY data using ggplot2. +#' \item Saves the plot as a PNG file in the "figs" subdirectory of the "outputs" directory. +#' } +#' @importFrom here here +#' @importFrom ggplot2 ggplot geom_boxplot aes scale_y_continuous ggsave +#' @importFrom dplyr bind_rows select mutate +#' @importFrom magrittr %>% #' @export plot_outcomes <- function(object) { object_get <- load(file = here::here("outputs", @@ -179,7 +221,19 @@ get_model_sample <- function(object, seed) { model_calendar_sample } -#' @export + +#' @title Get Efficacies Sample +#' @description This function retrieves a sample of efficacies from an object based on a provided seed. +#' @param object An object containing efficacies in a list format. +#' @param seed An integer representing the seed to select the sample from the efficacies. +#' @return A list containing the sampled efficacies for each efficacy type. +#' @details The function initializes a list with efficacy types set to 0. It then iterates over the names of the efficacy types and checks if the length of the efficacy values for each type is greater than 1. If so, it selects the efficacy value based on the provided seed. Otherwise, it assigns the single efficacy value to the list. The function finally returns the list of sampled efficacies. +#' @examples +#' \dontrun{ +#' object <- list(efficacies = list(mab_vhr = c(0.1, 0.2), mab_mass = 0.3, lav_mass = c(0.4, 0.5), mat_mass = 0.6)) +#' seed <- 1 +#' get_efficacies_sample(object, seed) +#' } get_efficacies_sample <- function(object, seed) { efficacy_sample_list <- list( mab_vhr = 0, diff --git a/R/utils.R b/R/utils.R index 3cb56d1..a9cc9d3 100644 --- a/R/utils.R +++ b/R/utils.R @@ -3,8 +3,17 @@ #' @param object an RSVProgramme object #' @importFrom tidyr pivot_longer #' @return none +#' @title Checkout Incidence +#' @description This function processes the incidence data from an object. +#' @param object An object containing the raw incidence data. +#' @param rerun A logical value indicating whether to rerun the `rsvie::run` function on the object. Default is TRUE. +#' @return A data frame containing the processed incidence data with additional columns for time, age group, social group, and risk group. +#' @examples +#' \dontrun{ +#' result <- checkout_incidence(my_object) +#' } #' @export -checkout_incidence <- function(object, rerun = TRUE) { +checkout_incidence <- function(object, rerun = FALSE) { if (rerun) { object <- rsvie::run(object) } @@ -19,12 +28,17 @@ checkout_incidence <- function(object, rerun = TRUE) { inci_df } -#' @title function to conver the incidence matrix from a state run to a data.frame -#' -#' @param object an RSVProgramme object + +#' @title Checkout States +#' @description This function processes the states of a given object and returns a data table with detailed information about each state. +#' @param object An object containing the states to be processed. +#' @return A data table with columns for time, incidence, age group, risk group, social group, model type, and state name. +#' @details The function generates a list of state names and categorizes them into risk groups, social groups, and model types. It then runs the state function on the input object and processes the resulting states into a data frame. The data frame is then transformed into a long format and additional columns are added to provide detailed information about each state. +#' @importFrom dplyr mutate #' @importFrom tidyr pivot_longer -#' @import data.table -#' @return none +#' @importFrom data.table as.data.table +#' @importFrom purrr map +#' @importFrom magrittr %>% #' @export checkout_states <- function(object) { inner <- c( @@ -62,6 +76,19 @@ checkout_states <- function(object) { df_states %>% as.data.table } + + +#' Compare Interventions +#' +#' This function compares the outcomes of a base intervention with multiple other interventions. +#' +#' @param obj_base An object containing the outcomes of the base intervention. +#' @param obj_inter A list of objects, each containing the outcomes of different interventions to be compared with the base intervention. +#' +#' @return A data frame summarizing the total cases, cases in very high-risk (VHR) groups, and total cases for each age group and outcome, for both the base and other interventions. +#' +#' @import dplyr +#' @import purrr #' @export compare_interventions <- function(obj_base, obj_inter) { diff --git a/man/RSVProgramme-class.Rd b/man/RSVProgramme-class.Rd new file mode 100644 index 0000000..f99b498 --- /dev/null +++ b/man/RSVProgramme-class.Rd @@ -0,0 +1,63 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/programmeClass.R +\docType{class} +\name{RSVProgramme-class} +\alias{RSVProgramme-class} +\title{RSVProgramme Class} +\description{ +A class to represent an RSV (Respiratory Syncytial Virus) Programme. +} +\section{Slots}{ + +\describe{ +\item{\code{econ_name}}{A character string representing the economic name.} + +\item{\code{prog_name}}{A character string representing the programme name.} + +\item{\code{model}}{An object of class refClass representing the model.} + +\item{\code{uk_data}}{A list containing UK data.} + +\item{\code{model_par}}{A list of model parameters.} + +\item{\code{econ_par}}{A list of economic parameters.} + +\item{\code{model_calendar}}{A list representing the model calendar.} + +\item{\code{dose_calendar}}{A list representing the dose calendar.} + +\item{\code{immune_profile}}{A list representing the immune profile.} + +\item{\code{econ_df}}{A data.frame containing economic data.} + +\item{\code{risks_df}}{A data.frame containing risk data.} + +\item{\code{risks_vhr_df}}{A data.frame containing very high risk data.} + +\item{\code{outcomes_vec}}{A vector of outcomes.} + +\item{\code{post}}{A data.frame containing posterior data.} + +\item{\code{seeds}}{A vector of seeds.} + +\item{\code{S}}{A numeric value.} + +\item{\code{raw_inci}}{A list of raw incidence data.} + +\item{\code{wane_func_string}}{A character string representing the waning function.} + +\item{\code{wane_func_string_vhr}}{A character string representing the waning function for very high risk.} + +\item{\code{outcomes}}{A list of outcomes.} + +\item{\code{samples_outcomes}}{A list of sample outcomes.} + +\item{\code{samples_outcomes_VHR}}{A list of sample outcomes for very high risk.} + +\item{\code{efficacies}}{A vector of efficacies.} + +\item{\code{cov_mat}}{A numeric matrix representing the covariance matrix.} + +\item{\code{full_output}}{A logical value indicating whether to produce full output.} +}} + diff --git a/man/add_economics-RSVProgramme-method.Rd b/man/add_economics-RSVProgramme-method.Rd index 8398726..84a67fb 100644 --- a/man/add_economics-RSVProgramme-method.Rd +++ b/man/add_economics-RSVProgramme-method.Rd @@ -2,22 +2,40 @@ % Please edit documentation in R/programmeClass.R \name{add_economics,RSVProgramme-method} \alias{add_economics,RSVProgramme-method} -\title{A setMethod for the \code{add_economics} function} +\title{Add Economics Data to RSVProgramme Object} \usage{ \S4method{add_economics}{RSVProgramme}(object, econ_name, econ_raw, risks_raw, risks_vhr_raw) } \arguments{ -\item{econ_name}{a string for the name gven the economic framework given} +\item{object}{An object of class \code{RSVProgramme}.} -\item{econ_raw}{a dataframe with the economic parameters per age group.} +\item{econ_name}{A character string representing the name of the economic data.} -\item{risks_raw}{a dataframe with the risk of outcomes per age group.} +\item{econ_raw}{A data frame containing the raw economic data.} -\item{risks_vhr_raw}{a dataframe with the risk of outcomes per age group for very-high-risk infants} +\item{risks_raw}{A data frame containing the raw risks data.} + +\item{risks_vhr_raw}{A data frame containing the raw very high risk (VHR) data.} } \value{ -An RSVProgramme object +The updated \code{RSVProgramme} object with the added economic data. } \description{ -A setMethod for the \code{add_economics} function +This method adds economic data to an RSVProgramme object. +} +\details{ +This method performs the following steps: +\itemize{ +\item Checks if the output directory for the economic data exists, and creates it if it does not. +\item Assigns the provided economic data and risk data to the corresponding slots in the \code{RSVProgramme} object. +\item Extracts unique outcomes from the economic data and assigns them to the \code{outcomes_vec} slot. +\item Stops execution if no outcomes are detected in the economic data. +\item Generates samples of outcomes and assigns them to the \code{samples_outcomes} and \code{samples_outcomes_VHR} slots. +} +} +\examples{ +\dontrun{ + rsv_programme <- new("RSVProgramme") + rsv_programme <- add_economics(rsv_programme, "econ_data", econ_raw_df, risks_raw_df, risks_vhr_raw_df) +} } diff --git a/man/add_economics.Rd b/man/add_economics.Rd new file mode 100644 index 0000000..9543ada --- /dev/null +++ b/man/add_economics.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/programmeClass.R +\name{add_economics} +\alias{add_economics} +\title{Add Economics Data to an Object} +\usage{ +add_economics(object, econ_name, econ_raw, risks_raw, risks_vhr_raw) +} +\arguments{ +\item{object}{The object to which the economics data will be added.} + +\item{econ_name}{A character string representing the name of the economics data.} + +\item{econ_raw}{The raw economics data to be added.} + +\item{risks_raw}{The raw risks data associated with the economics data.} + +\item{risks_vhr_raw}{The raw very high risk data associated with the economics data.} +} +\value{ +The object with the added economics data. +} +\description{ +This generic function is used to add economics data to a specified object. +} diff --git a/man/add_fitted_dist.Rd b/man/add_fitted_dist.Rd new file mode 100644 index 0000000..6c2f137 --- /dev/null +++ b/man/add_fitted_dist.Rd @@ -0,0 +1,26 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_economics_methods.R +\name{add_fitted_dist} +\alias{add_fitted_dist} +\title{Add Fitted Distribution to Data Frame} +\usage{ +add_fitted_dist(cost_df, dist) +} +\arguments{ +\item{cost_df}{A data frame containing the data to which the distribution will be fitted. The data frame should have columns named "mean", "lb_95", and "ub_95".} + +\item{dist}{A character string specifying the distribution to fit. The distribution should be one of the distributions supported by the \code{q} function in R (e.g., "norm" for normal distribution, "tri" for triangular distribution).} +} +\value{ +A data frame with an additional column named \code{fitt_dist} containing the fitted distribution for each row. +} +\description{ +This function fits a specified distribution to the data in a given data frame and adds the fitted distribution as a new column. +} +\examples{ +\dontrun{ +cost_df <- data.frame(mean = c(10, 20), lb_95 = c(5, 15), ub_95 = c(15, 25)) +add_fitted_dist(cost_df, "norm") +} + +} diff --git a/man/add_programme-RSVProgramme-method.Rd b/man/add_programme-RSVProgramme-method.Rd index bfb4ae4..1000728 100644 --- a/man/add_programme-RSVProgramme-method.Rd +++ b/man/add_programme-RSVProgramme-method.Rd @@ -2,22 +2,27 @@ % Please edit documentation in R/programmeClass.R \name{add_programme,RSVProgramme-method} \alias{add_programme,RSVProgramme-method} -\title{A setMethod for the \code{add_programme} function} +\title{Add Programme to RSVProgramme Object} \usage{ \S4method{add_programme}{RSVProgramme}(object, prog_name, cal, cal_vhr, immune_profile) } \arguments{ -\item{prog_name}{an integer taking the number of Monte Carlo samples to run over} +\item{object}{An object of class \code{RSVProgramme}.} -\item{cal}{a dataframe with the implementation calendar for the population} +\item{prog_name}{A character string representing the name of the programme.} -\item{cal_vhr}{dataframe with the implementation calendar for the very-high-risk population} +\item{cal}{A calendar object used for the programme.} -\item{immune_profile}{a list with information about the immune asumptions if the prophylatic in the programme} +\item{cal_vhr}{A calendar object for very high-risk (VHR) groups.} + +\item{immune_profile}{A list containing the immune profile information.} } \value{ -An RSVProgramme object +The updated \code{RSVProgramme} object with the new programme added. } \description{ -A setMethod for the \code{add_programme} function +This method adds a programme to an RSVProgramme object, setting various attributes and creating necessary directories. +} +\details{ +This function sets the programme name, checks and creates necessary directories, initializes dose and sero matrices, calculates daily uptake, converts matrices to transmission calendars, and sets various attributes in the \code{RSVProgramme} object. } diff --git a/man/add_programme.Rd b/man/add_programme.Rd new file mode 100644 index 0000000..06b460d --- /dev/null +++ b/man/add_programme.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/programmeClass.R +\name{add_programme} +\alias{add_programme} +\title{Add Programme} +\usage{ +add_programme(object, prog_name, cal, cal_vhr, immune_profile) +} +\arguments{ +\item{object}{The object to which the programme will be added.} + +\item{prog_name}{The name of the programme to be added.} + +\item{cal}{The calendar associated with the programme.} + +\item{cal_vhr}{The calendar with very high resolution associated with the programme.} + +\item{immune_profile}{The immune profile associated with the programme.} +} +\value{ +The object with the added programme. +} +\description{ +This function is a generic method for adding a programme to an object. +} diff --git a/man/calculate_daily_uptake.Rd b/man/calculate_daily_uptake.Rd index e335c1a..9d1fff4 100644 --- a/man/calculate_daily_uptake.Rd +++ b/man/calculate_daily_uptake.Rd @@ -2,15 +2,29 @@ % Please edit documentation in R/add_programme_methods.R \name{calculate_daily_uptake} \alias{calculate_daily_uptake} -\title{Convert daily uptake from calendar to model} +\title{Calculate Daily Uptake} \usage{ calculate_daily_uptake(object, cal_df) } \arguments{ -\item{object}{am S4 class of the defined RSV programme} +\item{object}{An object containing the UK data with age group boundaries.} -\item{cal_df}{a dataframe of a calendar being evaluated} +\item{cal_df}{A data frame containing the start and end dates, and uptake types for each age group.} +} +\value{ +A matrix with 365 rows (days) and 25 columns (age groups) representing the daily uptake. } \description{ -Convert mean and ci into samples from a fitted distribution. +This function calculates the daily uptake for different age groups based on the provided calibration data frame. +} +\details{ +The function processes each age group, calculates the start and end positions within the year, and fills the uptake matrix accordingly. +Different uptake types such as "linear", "birth_rate", "flu_oa", and "oa_2425" are handled. +} +\examples{ +\dontrun{ +object <- your_object_with_uk_data +cal_df <- your_calibration_data_frame +daily_uptake_matrix <- calculate_daily_uptake(object, cal_df) +} } diff --git a/man/checkout_incidence.Rd b/man/checkout_incidence.Rd index 550b3a5..c75179b 100644 --- a/man/checkout_incidence.Rd +++ b/man/checkout_incidence.Rd @@ -7,11 +7,20 @@ checkout_incidence(object, rerun = TRUE) } \arguments{ -\item{object}{an RSVProgramme object} +\item{object}{An object containing the raw incidence data.} + +\item{rerun}{A logical value indicating whether to rerun the \code{rsvie::run} function on the object. Default is TRUE.} } \value{ none + +A data frame containing the processed incidence data with additional columns for time, age group, social group, and risk group. } \description{ -function to conver the incidence matrix from a run to a data.frame +This function processes the incidence data from an object. +} +\examples{ +\dontrun{ + result <- checkout_incidence(my_object) +} } diff --git a/man/checkout_states.Rd b/man/checkout_states.Rd index a4ce707..0d41263 100644 --- a/man/checkout_states.Rd +++ b/man/checkout_states.Rd @@ -2,16 +2,19 @@ % Please edit documentation in R/utils.R \name{checkout_states} \alias{checkout_states} -\title{function to conver the incidence matrix from a state run to a data.frame} +\title{Checkout States} \usage{ checkout_states(object) } \arguments{ -\item{object}{an RSVProgramme object} +\item{object}{An object containing the states to be processed.} } \value{ -none +A data table with columns for time, incidence, age group, risk group, social group, model type, and state name. } \description{ -function to conver the incidence matrix from a state run to a data.frame +This function processes the states of a given object and returns a data table with detailed information about each state. +} +\details{ +The function generates a list of state names and categorizes them into risk groups, social groups, and model types. It then runs the state function on the input object and processes the resulting states into a data frame. The data frame is then transformed into a long format and additional columns are added to provide detailed information about each state. } diff --git a/man/compare_interventions.Rd b/man/compare_interventions.Rd new file mode 100644 index 0000000..219650d --- /dev/null +++ b/man/compare_interventions.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/utils.R +\name{compare_interventions} +\alias{compare_interventions} +\title{Compare Interventions} +\usage{ +compare_interventions(obj_base, obj_inter) +} +\arguments{ +\item{obj_base}{An object containing the outcomes of the base intervention.} + +\item{obj_inter}{A list of objects, each containing the outcomes of different interventions to be compared with the base intervention.} +} +\value{ +A data frame summarizing the total cases, cases in very high-risk (VHR) groups, and total cases for each age group and outcome, for both the base and other interventions. +} +\description{ +This function compares the outcomes of a base intervention with multiple other interventions. +} diff --git a/man/convert_efficacies.Rd b/man/convert_efficacies.Rd new file mode 100644 index 0000000..180214c --- /dev/null +++ b/man/convert_efficacies.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_programme_methods.R +\name{convert_efficacies} +\alias{convert_efficacies} +\title{Convert Immune Profile to Efficacies} +\usage{ +convert_efficacies(immune_profile) +} +\arguments{ +\item{immune_profile}{A list containing immune profile information. It should have the following structure: +\describe{ +\item{vhr}{A list with element \code{b} representing the efficacy for very high risk (VHR) individuals.} +\item{mass}{A list with elements \code{b} and \code{product} representing the efficacy and product type for mass immunization. The \code{product} can be "lav", "mab", or "mat".} +}} +} +\value{ +A list with the following elements: +\describe{ +\item{mab_vhr}{Efficacy for monoclonal antibodies (MAB) in very high risk individuals.} +\item{mab_mass}{Efficacy for monoclonal antibodies (MAB) in mass immunization.} +\item{lav_mass}{Efficacy for live attenuated vaccines (LAV) in mass immunization.} +\item{mat_mass}{Efficacy for maternal antibodies (MAT) in mass immunization.} +} +} +\description{ +This function takes an immune profile and converts it into a list of efficacies for different products. +} +\details{ +The function initializes the efficacy list with zeros. It then checks if the immune profile contains efficacy values for VHR and mass immunization and updates the efficacy list accordingly. +} +\examples{ +immune_profile <- list( + vhr = list(b = 0.8), + mass = list(b = 0.6, product = "lav") +) +convert_efficacies(immune_profile) + +} diff --git a/man/convert_mat_to_trans_cal.Rd b/man/convert_mat_to_trans_cal.Rd new file mode 100644 index 0000000..f03580a --- /dev/null +++ b/man/convert_mat_to_trans_cal.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_programme_methods.R +\name{convert_mat_to_trans_cal} +\alias{convert_mat_to_trans_cal} +\title{Convert Matrices to Transmission Calendar} +\usage{ +convert_mat_to_trans_cal( + all_dose, + all_sero, + cal_vhr, + daily_uptake_vhr, + cal, + daily_uptake, + immune_profile +) +} +\arguments{ +\item{all_dose}{A matrix representing all doses.} + +\item{all_sero}{A matrix representing all sero values.} + +\item{cal_vhr}{A calendar matrix for very high risk (VHR) individuals.} + +\item{daily_uptake_vhr}{A matrix representing daily uptake for VHR individuals.} + +\item{cal}{A calendar matrix for the general population.} + +\item{daily_uptake}{A matrix representing daily uptake for the general population.} + +\item{immune_profile}{A list containing immune profiles for VHR and general population.} +} +\value{ +A list containing updated \code{dose} and \code{sero} matrices. +} +\description{ +This function converts dose and sero matrices into a transmission calendar based on the provided immune profile. +} +\details{ +The function first creates a VHR calendar if the immune profile for VHR is not "none". It then calculates the sero and dose models using the \code{get_sero_dose_cals} helper function. The results are stored in the \code{all_sero} and \code{all_dose} matrices. + +The \code{get_sero_dose_cals} function calculates the dose and sero models based on the provided calendar, daily uptake, and immune profile. It considers different sero delays and coverage values. +} diff --git a/man/convert_to_outcomes.Rd b/man/convert_to_outcomes.Rd new file mode 100644 index 0000000..d38387e --- /dev/null +++ b/man/convert_to_outcomes.Rd @@ -0,0 +1,39 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/run_methods.R +\name{convert_to_outcomes} +\alias{convert_to_outcomes} +\title{Convert to Outcomes} +\usage{ +convert_to_outcomes(object, yrsum = 2) +} +\arguments{ +\item{object}{An object containing the necessary data for processing.} + +\item{yrsum}{An integer specifying the number of years to summarize. Default is 2.} +} +\value{ +A list containing the following elements: +\item{outcomes}{A data frame with weekly outcomes by age group.} +\item{costs}{A data frame with discounted costs by outcome and age group.} +\item{qaly}{A data frame with discounted quality-adjusted life years (QALYs) by outcome and age group.} +\item{doses}{A vector containing the number of doses administered.} +} +\description{ +This function processes an object to calculate various health outcomes over time. +} +\details{ +The function performs the following steps: +\enumerate{ +\item Extracts necessary data from the input object. +\item Calculates the proportion of individuals in different states over time. +\item Estimates the incidence of various health outcomes for vaccinated and unvaccinated groups. +\item Computes the protected incidence for different health outcomes. +\item Aggregates the results to provide weekly outcomes, costs, and QALYs by age group. +\item Applies discounting to costs and QALYs. +} +} +\examples{ +\dontrun{ +result <- convert_to_outcomes(my_object, yrsum = 3) +} +} diff --git a/man/covert_raw_to_risk.Rd b/man/covert_raw_to_risk.Rd new file mode 100644 index 0000000..d1f4f91 --- /dev/null +++ b/man/covert_raw_to_risk.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_economics_methods.R +\name{covert_raw_to_risk} +\alias{covert_raw_to_risk} +\title{Convert Raw Outcomes to Risk} +\usage{ +covert_raw_to_risk(object, outcomes_raw, model_cases_sample_mean) +} +\arguments{ +\item{object}{An object containing UK population data.} + +\item{outcomes_raw}{A data frame containing raw outcome data.} + +\item{model_cases_sample_mean}{A data frame containing model cases sample mean.} +} +\value{ +A data frame with calculated risk metrics for each age group and outcome. +} +\description{ +This function converts raw outcome data to risk metrics based on population data and model cases sample mean. +} +\details{ +The function performs the following steps: +\itemize{ +\item Extracts population and age group data from the input object. +\item Defines helper functions to check the completeness of data and calculate risk per infection. +\item Checks that each outcome has data for all age groups. +\item Combines raw outcomes data with model cases data and population data. +\item Calculates the risk per infection for each outcome and age group. +} +} +\examples{ +\dontrun{ + result <- covert_raw_to_risk(object, outcomes_raw, model_cases_sample_mean) + print(result) +} + +} diff --git a/man/get_coverage.Rd b/man/get_coverage.Rd new file mode 100644 index 0000000..68f9c13 --- /dev/null +++ b/man/get_coverage.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_programme_methods.R +\name{get_coverage} +\alias{get_coverage} +\title{Get Coverage} +\usage{ +get_coverage(immune_profile_mass, cal) +} +\arguments{ +\item{immune_profile_mass}{A data frame containing the immune profile mass information.} + +\item{cal}{A data frame containing the calibration data.} +} +\value{ +The coverage value. If the product in the immune profile mass is "mat", it returns the mean of the positive coverage values from the calibration data. Otherwise, it returns 0. +} +\description{ +This function calculates the coverage based on the immune profile mass and calibration data. +} +\examples{ +immune_profile_mass <- data.frame(product = "mat") +cal <- data.frame(cov = c(0.1, 0.2, 0, -0.1)) +get_coverage(immune_profile_mass, cal) +} diff --git a/man/get_daily_uptake.Rd b/man/get_daily_uptake.Rd index 02a8d31..7eb3ccc 100644 --- a/man/get_daily_uptake.Rd +++ b/man/get_daily_uptake.Rd @@ -2,18 +2,28 @@ % Please edit documentation in R/add_programme_methods.R \name{get_daily_uptake} \alias{get_daily_uptake} -\title{Function to convert a custom weekly uptake vector into a daily uptake calendar} +\title{Calculate Daily Uptake from Weekly Data} \usage{ get_daily_uptake(up_week_raw, start_time) } \arguments{ -\item{up_week_raw}{A vector of weekly uptake proportions} +\item{up_week_raw}{A numeric vector containing the weekly uptake data.} -\item{start_time}{Start week when administration occurs} +\item{start_time}{An integer representing the start time in days.} } \value{ -A vector of the daily proportion of a target group which are vaccinated. +A numeric vector of length 365 representing the daily uptake. } \description{ -Function to convert a custom weekly uptake vector into a daily uptake calendar +This function calculates the daily uptake based on weekly uptake data. +} +\details{ +The function first processes the weekly data to fill a weekly uptake vector, then calculates the daily uptake by interpolating the weekly data. +} +\examples{ +\dontrun{ +up_week_raw <- c(0.1, 0.2, 0.3, 0.4, 0.5) +start_time <- 1 +daily_uptake <- get_daily_uptake(up_week_raw, start_time) +} } diff --git a/man/get_efficacies_sample.Rd b/man/get_efficacies_sample.Rd new file mode 100644 index 0000000..183dba4 --- /dev/null +++ b/man/get_efficacies_sample.Rd @@ -0,0 +1,29 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/run_methods.R +\name{get_efficacies_sample} +\alias{get_efficacies_sample} +\title{Get Efficacies Sample} +\usage{ +get_efficacies_sample(object, seed) +} +\arguments{ +\item{object}{An object containing efficacies in a list format.} + +\item{seed}{An integer representing the seed to select the sample from the efficacies.} +} +\value{ +A list containing the sampled efficacies for each efficacy type. +} +\description{ +This function retrieves a sample of efficacies from an object based on a provided seed. +} +\details{ +The function initializes a list with efficacy types set to 0. It then iterates over the names of the efficacy types and checks if the length of the efficacy values for each type is greater than 1. If so, it selects the efficacy value based on the provided seed. Otherwise, it assigns the single efficacy value to the list. The function finally returns the list of sampled efficacies. +} +\examples{ +\dontrun{ +object <- list(efficacies = list(mab_vhr = c(0.1, 0.2), mab_mass = 0.3, lav_mass = c(0.4, 0.5), mat_mass = 0.6)) +seed <- 1 +get_efficacies_sample(object, seed) +} +} diff --git a/man/output_samples.Rd b/man/output_samples.Rd index 7806e06..c999b88 100644 --- a/man/output_samples.Rd +++ b/man/output_samples.Rd @@ -2,15 +2,37 @@ % Please edit documentation in R/add_economics_methods.R \name{output_samples} \alias{output_samples} -\title{Convert mean and ci into samples from a fitted distribution} +\title{Generate and output samples for economic and risk data} \usage{ output_samples(econ_raw, risks_raw, file.name) } \arguments{ -\item{econ_raw}{a dataframe with the economic parameters per age group.} +\item{econ_raw}{A data frame containing raw economic data with columns for age group, outcome, reference QALYs, mean QALYs, lower bound QALYs, and upper bound QALYs.} -\item{risks_raw}{a dataframe with the risk of outcomes per age group.} +\item{risks_raw}{A data frame containing raw risk data.} + +\item{file.name}{A string specifying the name of the output file.} +} +\value{ +A list containing sampled outcomes for risks, QALYs, and costs. } \description{ -Convert mean and ci into samples from a fitted distribution. +This function processes raw economic and risk data, fits distributions to the data, +generates samples, and outputs the results to a specified file. +} +\details{ +The function performs the following steps: +\itemize{ +\item Fits triangular distributions to the risk, QALY, and cost data. +\item Generates samples for each outcome using the fitted distributions. +\item Outputs the sampled outcomes to the specified file. +} +} +\examples{ +\dontrun{ +econ_raw <- read.csv("economic_data.csv") +risks_raw <- read.csv("risk_data.csv") +output_samples(econ_raw, risks_raw, "output_samples.csv") +} + } diff --git a/man/plot_calendar.Rd b/man/plot_calendar.Rd index 03d2fd5..38cb6d3 100644 --- a/man/plot_calendar.Rd +++ b/man/plot_calendar.Rd @@ -2,16 +2,32 @@ % Please edit documentation in R/add_programme_methods.R \name{plot_calendar} \alias{plot_calendar} -\title{function to plot the dosing calendar of the RSVprogramme]} +\title{Plot Dosing Calendar} \usage{ plot_calendar(object) } \arguments{ -\item{object}{an RSVProgramme object} +\item{object}{An object containing the dosing calendar and other relevant data.} } \value{ -none +None } \description{ -function to plot the dosing calendar of the RSVprogramme] +This function generates and saves a plot of the dosing calendar for different age groups. +} +\details{ +The function performs the following steps: +\itemize{ +\item Checks if the directory for saving the plot exists, and creates it if it does not. +\item Extracts unique age groups from the economic data frame within the object. +\item Updates the column names of the dose calendar matrices to match the age groups. +\item Converts the dose calendar matrices into a data frame suitable for plotting. +\item Generates a ggplot of the dosing calendar, with days of the year on the x-axis, age groups on the y-axis, and the proportion of doses as the fill color. +\item Saves the plot as a PNG file in the specified directory. +} +} +\examples{ +\dontrun{ +plot_calendar(my_object) +} } diff --git a/man/plot_economics.Rd b/man/plot_economics.Rd new file mode 100644 index 0000000..5220e26 --- /dev/null +++ b/man/plot_economics.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_economics_methods.R +\name{plot_economics} +\alias{plot_economics} +\title{Plot Economics Data} +\usage{ +plot_economics(object) +} +\arguments{ +\item{object}{An object containing economic data frames (\code{econ_df}, \code{risks_df}, \code{risks_vhr_df}) and an economic name (\code{econ_name}).} +} +\description{ +This function generates and saves plots for economic data, risks data, and very high-risk data from the given object. +} +\details{ +The function performs the following steps: +\itemize{ +\item Checks if the directory for saving plots exists, and creates it if it does not. +\item Processes the economic data frame (\code{econ_df}) to create a combined data frame for QALY loss and Costs. +\item Generates and saves a plot for the economic data with uncertainty ribbons and lines. +\item Generates and saves a plot for the risks data with uncertainty ribbons and lines. +\item Generates and saves a plot for the very high-risk data with lines. +} +} diff --git a/man/plot_economics_fit.Rd b/man/plot_economics_fit.Rd new file mode 100644 index 0000000..7d6ea8e --- /dev/null +++ b/man/plot_economics_fit.Rd @@ -0,0 +1,35 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add_economics_methods.R +\name{plot_economics_fit} +\alias{plot_economics_fit} +\title{Plot Economic Fit} +\usage{ +plot_economics_fit(object) +} +\arguments{ +\item{object}{An S4 object containing economic data and model outcomes.} +} +\value{ +None. The function saves the generated plots to the specified directory. +} +\description{ +This function generates and saves plots comparing fitted distributions to reference data for risks, QALYs, and costs across different age groups. +} +\details{ +The function performs the following steps: +\itemize{ +\item Checks if the directory for saving plots exists, and creates it if it doesn't. +\item Extracts unique age groups from the economic data. +\item Defines a helper function to extract mean and 95\% uncertainty intervals for model outcomes. +\item Extracts fitted model outcomes for risks, QALYs, and costs. +\item Prepares data frames for risks, QALYs, and costs by merging reference data with fitted model outcomes. +\item Defines a helper function to convert data frames to long format for plotting. +\item Converts the prepared data frames to long format. +\item Generates and saves plots comparing fitted model outcomes to reference data for risks, QALYs, and costs. +} +} +\examples{ +\dontrun{ + plot_economics_fit(my_economic_model) +} +} diff --git a/man/plot_outcomes.Rd b/man/plot_outcomes.Rd new file mode 100644 index 0000000..46ae75d --- /dev/null +++ b/man/plot_outcomes.Rd @@ -0,0 +1,27 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/run_methods.R +\name{plot_outcomes} +\alias{plot_outcomes} +\title{Plot Outcomes} +\usage{ +plot_outcomes(object) +} +\arguments{ +\item{object}{An S4 object that contains the program name and outcomes data.} +} +\value{ +A ggplot object representing the boxplot of costs and QALY outcomes. +} +\description{ +This function loads the run outputs from a specified file, extracts the outcomes data, and creates a boxplot of costs and QALY (Quality-Adjusted Life Year) outcomes. The plot is saved as a PNG file. +} +\details{ +The function performs the following steps: +\itemize{ +\item Loads the run outputs from a file located in the "outputs" directory. +\item Extracts the outcomes data from the loaded object. +\item Binds the costs and QALY data into a single data frame. +\item Creates a boxplot of the costs and QALY data using ggplot2. +\item Saves the plot as a PNG file in the "figs" subdirectory of the "outputs" directory. +} +} diff --git a/man/run-RSVProgramme-method.Rd b/man/run-RSVProgramme-method.Rd index 3cfce8a..2360271 100644 --- a/man/run-RSVProgramme-method.Rd +++ b/man/run-RSVProgramme-method.Rd @@ -4,13 +4,16 @@ \alias{run,RSVProgramme-method} \title{A setMethod for the \code{run} function} \usage{ -\S4method{run}{RSVProgramme}(object, direct = FALSE, filename = NULL) +\S4method{run}{RSVProgramme}(object, direct = FALSE, filename = NULL, yr_num = 2) } \arguments{ -\item{object}{RSVProgramme object} -} -\value{ -An RSVProgramme object +\item{object}{The object on which the operation is performed.} + +\item{direct}{A logical value indicating whether to run the operation directly.} + +\item{filename}{An optional character string specifying the filename.} + +\item{yr_num}{An integer specifying the number of years, default is 2.#' @return An RSVProgramme object} } \description{ A setMethod for the \code{run} function diff --git a/man/run.Rd b/man/run.Rd new file mode 100644 index 0000000..710621a --- /dev/null +++ b/man/run.Rd @@ -0,0 +1,23 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/programmeClass.R +\name{run} +\alias{run} +\title{Run Method} +\usage{ +run(object, direct = FALSE, filename = NULL, yr_num = 2) +} +\arguments{ +\item{object}{The object on which the operation is performed.} + +\item{direct}{A logical value indicating whether to run the operation directly.} + +\item{filename}{An optional character string specifying the filename.} + +\item{yr_num}{An integer specifying the number of years, default is 2.} +} +\value{ +The result of the operation. +} +\description{ +Generic function to execute a specific operation. +} diff --git a/man/run_state-RSVProgramme-method.Rd b/man/run_state-RSVProgramme-method.Rd index b3fcd9e..ac9f72a 100644 --- a/man/run_state-RSVProgramme-method.Rd +++ b/man/run_state-RSVProgramme-method.Rd @@ -7,7 +7,11 @@ \S4method{run_state}{RSVProgramme}(object, S_i = 1, direct = FALSE) } \arguments{ -\item{object}{RSVProgramme object} +\item{object}{An object on which the state is to be run.} + +\item{S_i}{An integer representing the state index. Default is 1.} + +\item{direct}{A logical value indicating whether to run the state directly. Default is FALSE.} } \value{ a matrix with all the values of the state variables in the dynamic transmission model diff --git a/man/run_state.Rd b/man/run_state.Rd new file mode 100644 index 0000000..59dc6e9 --- /dev/null +++ b/man/run_state.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/programmeClass.R +\name{run_state} +\alias{run_state} +\title{Run State Generic Function} +\usage{ +run_state(object, S_i = 1, direct = FALSE) +} +\arguments{ +\item{object}{An object on which the state is to be run.} + +\item{S_i}{An integer representing the state index. Default is 1.} + +\item{direct}{A logical value indicating whether to run the state directly. Default is FALSE.} +} +\value{ +The result of the state run, depending on the method implementation. +} +\description{ +This is a generic function for running a state. +} diff --git a/tests/testthat.R b/old_tests/testthat.R similarity index 100% rename from tests/testthat.R rename to old_tests/testthat.R diff --git a/tests/testthat/test_statevars.R b/old_tests/testthat/test_statevars.R similarity index 100% rename from tests/testthat/test_statevars.R rename to old_tests/testthat/test_statevars.R diff --git a/outputs/E_W2023/figs/compare_fit_costs.png b/outputs/E_W2023/figs/compare_fit_costs.png index 36ee49b737a62f737dc6029d6c77eeacf3ab7cb1..f5b13bcb8fca5fea23ec0a7cb632a2d02dabf55e 100644 GIT binary patch delta 167956 zcmY&=1z1(v);1ndLAsQ5R{3(bGwGSCbee(7g%@U~ItOC|W1Q9C82Q8B8Z z-EE54h2Jx*s97WS&%bhFA+OZQXAWU&5C^0=c|ddGsNcL#&I{G>j-b8<(5jQz#T>P2 z3(6gIQ`$|?3d8!u#fkaCBoc!V?Nj#KZ7>SM#-t4mgYVK@DzE}6e^N(}Nq@6%pRKIU zthrEIae6-P=fEqa^HQa@j=-&t6BTpBX 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vignettes/sanity_check_mat.Rmd rename to vig_working/sanity_checks/sanity_check_mat.Rmd diff --git a/vignettes/sanity_check_vhr.Rmd b/vig_working/sanity_checks/sanity_check_vhr.Rmd similarity index 100% rename from vignettes/sanity_check_vhr.Rmd rename to vig_working/sanity_checks/sanity_check_vhr.Rmd diff --git a/vignettes/example.Rmd b/vignettes/example1.Rmd similarity index 74% rename from vignettes/example.Rmd rename to vignettes/example1.Rmd index f0672e1..74f307e 100644 --- a/vignettes/example.Rmd +++ b/vignettes/example1.Rmd @@ -1,14 +1,27 @@ -# Markdown explaining how to use the RSV impact package -## Load the packages +--- +title: "Using the RSV Impact Evaluation `rsvie` Package (A)" +author: "Your Name" +date: "`r Sys.Date()`" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- +# Markdown explaining how to use the RSV impact evaluation `rsvie` package -```{r} +## 1. Load package and functions +This vignette explains how to use the `rsvie` package to evaluate the impact of different RSV intervention programmes. The package is designed to be flexible and allow the user to define different intervention programmes, with different immunological profiles, and evaluate their impact on RSV outcomes. + + +```{r, load libraries, echo=FALSE, results='hide'} # Load the package (or library(rsvie)) devtools::load_all() # This defines an RSVProgramme class -RSVempty <- make_rsv_programme() +RSVempty <- make_rsv_programme(1) # To see what is in these slots RSVempty %>% str @@ -17,7 +30,7 @@ RSVempty %>% str Let's have a more detailed look at what's in these slots. I wouldn't recommend changing them, but future package iterations should allow for more flexibility. -```{r} +```{r check, echo=FALSE, results='hide'} RSVempty@prog_name # Name of the programme considered (currently empty) RSVempty@econ_name # Name of the economics considered (currently empty) @@ -30,12 +43,12 @@ RSVempty@uk_data$populationAgeGroup # Posterior distributions fitted to UK-speci ``` -## Add economics +## 2. Add estimate pre-vaccination burden and risks of the programme With this empty class, we now add information on the economics of the model. This includes the health outcomes considered, the risk of each health outcome occurring per infection, and the QALY loss and cost of each outcome. First, we define the risk of each health outcome per age group: -```{r} +```{r incidence, echo=FALSE, results='hide'} # The risk of health outcome per infection can be difficult to obtain from the literature. However, we can aggregate different burden estimates into # a spreadsheet and convert them. For example, take the outcomes_incidence.csv included with the package. This has different @@ -62,9 +75,11 @@ risks_vhr_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ ``` +## 3. Add in the economics (cost and QALYs) per outcome + Now, we need to load the QALY loss and cost for each outcome per age group. -```{r} +```{r risks, echo=FALSE, results='hide'} # Similar to before, we load an Excel spreadsheet with all this information econ_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "econ_pars.csv")) @@ -73,11 +88,8 @@ econ_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "e # For cost, we have the cost per outcome per age group with mean and confidence intervals if available. # The user can copy this Excel spreadsheet and change the QALY loss and costs according to their beliefs. -``` - -Finally, we take the estimated risks and economics and add these to the class. -```{r} +# Finally we can call: RSVempty <- add_economics(RSVempty, econ_name = "E_W2023", econ_raw, risks_raw, risks_vhr_raw) @@ -97,14 +109,15 @@ plot_economics_fit(RSVempty) ``` -## Add intervention programmes +## 5. Add intervention programmes With the economics and risks defined, we can now define an intervention programme. We have several vignettes showing how to evaluate various types of programmes that use different products. Here is a simple example: -```{r} +```{r calendars, echo=FALSE, results='hide'} # To evaluate a seasonal monoclonal given at birth, we load an Excel spreadsheet such as: -cal_mabs_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mabs_s.csv")) +cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) +cal_lav_oa_65 <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_lav_oa_65.csv")) # In this spreadsheet you can define the start and end date for each age group and the coverage. Note the year doesn't matter, but if you # wish to evaluate over a seasonal from Dec -> Jan, the year must increase by 1 @@ -113,6 +126,16 @@ cal_mabs_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calenda ``` +## 6. Define the immunological profile of the product used + +```{r load immunology, echo=FALSE, results='hide'} + +oa_papi_nobound_wane_get <- load(file = system.file(package = "rsvie", "extdata", "efficacies", "oa_papi_nobound_post_wane.RData")) +oa_papi_nobound_wane <- get(oa_papi_nobound_wane_get) +disease_eff <- read_rds( here::here("inst", "extdata", "efficacies", "disease_specific.rda")) + +``` + We must also define the immunological profile of the product we are evaluating. To do this, we define a list with two entries * `mass`, defines the immunological profile for the mass administration product * `vhr`, defines the immunological profile for the palivizumab programme @@ -128,9 +151,9 @@ For `mass` and `vhr`, we define a list with the following options: An example of mabs is given below: -```{r} +```{r define immunology, echo=FALSE, results='hide'} -immune_profile_lav_unbound <- list( +immune_profile_lav <- list( mass = list( product = "lav", wane_function = "a * exp(b * t))", a = oa_papi_nobound_wane$wane_a_er3, b = 1/oa_papi_nobound_wane$wane_b_er3, @@ -141,7 +164,7 @@ immune_profile_lav_unbound <- list( wane_function = "a * exp(b * t))", a = 0.7, b = 1 / 60, sero_delay = "none" ), - disease_eff = disease_eff_values, + disease_eff = disease_eff, direct = FALSE ) @@ -153,24 +176,27 @@ We emphasise that the immune waning follows a Erlang-3 distribution. In future d We can then add the immunological profile and intervention programme to the class, which has its economics defined, by the function: -```{r} +```{r add programme, echo=FALSE, results='hide'} -RSV_mab_s <- add_programme(RSVempty, prog_name = "mab_s", cal_mabs_s, cal_vhr_s, immune_profile_mab) - -# RSV_mab_s an RSVPrograme class object -# prog_name gives the programme a name +RSV_mab_s <- add_programme(RSVempty, prog_name = "mab_s", cal_lav_oa_65, cal_vhr_s, immune_profile_lav) ``` -## Simulate the intervention programme +## 7. Simulate the intervention programme -To simulate a programme, we run: +To simulate a programme, we call `rsvie::run` on the class defined above. This will simulate the programme and return a class with the results. -```{r} +```{r run, echo=FALSE, results='hide'} RSV_mab_s <- rsvie::run(RSV_mab_s) -# RSV_mab_s still RSVPrograme class object, with all the outcomes ready for post-processing +``` + +## 8. Extract incidence for further exploration + +```{r post-process, echo=FALSE, results='hide'} + +checkout_incidence(RSV_mab_s) ``` \ No newline at end of file From 69d44110e6257b35e3074537ae049f6b8c579759 Mon Sep 17 00:00:00 2001 From: David Hodgson Date: Thu, 5 Dec 2024 17:23:57 +0000 Subject: [PATCH 2/3] Added new vignettes --- R/utils.R | 56 +++++ inst/extdata/calendars/cal_mat_none.csv | 26 +++ inst/extdata/econ/econ_pars.csv | 151 ------------- inst/extdata/econ/econ_pars_ls.csv | 151 +++++++++++++ inst/extdata/econ/econ_pars_ss.csv | 151 +++++++++++++ inst/extdata/econ/outcomes_incidence.csv | 44 ++-- .../econ/outcomes_incidence_high_mort.csv | 151 +++++++++++++ .../econ/outcomes_incidence_high_mort.xls | Bin 0 -> 44032 bytes .../econ/outcomes_incidence_master.xls | Bin 0 -> 44032 bytes .../outcomes_incidence_master_high_mort.xls | Bin 0 -> 44032 bytes .../efficacies/immune_profiles_bounded.RDS | Bin 0 -> 513977 bytes .../efficacies/immune_profiles_unbound.RDS | Bin 0 -> 517588 bytes src/RcppExports.o | Bin 124048 -> 0 bytes vignettes/example1.Rmd | 202 ------------------ vignettes/example_mab.Rmd | 123 +++++++++++ vignettes/example_mat.Rmd | 123 +++++++++++ vignettes/example_oa.Rmd | 121 +++++++++++ 17 files changed, 924 insertions(+), 375 deletions(-) create mode 100644 inst/extdata/calendars/cal_mat_none.csv delete mode 100644 inst/extdata/econ/econ_pars.csv create mode 100644 inst/extdata/econ/econ_pars_ls.csv create mode 100644 inst/extdata/econ/econ_pars_ss.csv create mode 100644 inst/extdata/econ/outcomes_incidence_high_mort.csv create mode 100644 inst/extdata/econ/outcomes_incidence_high_mort.xls create mode 100644 inst/extdata/econ/outcomes_incidence_master.xls create mode 100644 inst/extdata/econ/outcomes_incidence_master_high_mort.xls create mode 100644 inst/extdata/efficacies/immune_profiles_bounded.RDS create mode 100644 inst/extdata/efficacies/immune_profiles_unbound.RDS delete mode 100644 src/RcppExports.o delete mode 100644 vignettes/example1.Rmd create mode 100644 vignettes/example_mab.Rmd create mode 100644 vignettes/example_mat.Rmd create mode 100644 vignettes/example_oa.Rmd diff --git a/R/utils.R b/R/utils.R index a9cc9d3..018c708 100644 --- a/R/utils.R +++ b/R/utils.R @@ -106,4 +106,60 @@ compare_interventions <- function(obj_base, obj_inter) { base_compare <- base_sum %>% bind_rows(base_sum1) base_compare +} + + + +#' Summarise Outcomes +#' +#' This function takes an object `x` and summarises the outcomes by grouping +#' by `s`, `outcome`, and `age_group`, then calculates the total number of cases. +#' +#' @param x An object containing the outcomes data. +#' @return A data frame with the total number of cases grouped by `s`, `outcome`, and `age_group`. +#' @import dplyr +#' @export +#' @examples +#' # Assuming `data` is an object with the appropriate structure +#' summarise_outcomes(data) +summarise_outcomes <- function(x) { + x@outcomes$outcomes %>% group_by(s, outcome, age_group) %>% summarise(cases_total = sum(cases) ) +} + + +#' @title Calculate Averted Cases Data Frame +#' @description This function calculates the number of averted cases for different interventions compared to a base scenario. +#' @param base A data frame containing the base scenario data with columns `s`, `outcome`, `age_group`, and `cases_total`. +#' @param interventions A data frame containing the intervention scenario data with columns `s`, `outcome`, `age_group`, and `cases_total`. +#' @return A data frame with the calculated averted cases and proportions, with recoded age groups and outcomes. +#' @details The function performs the following steps: +#' \itemize{ +#' \item Joins the base and intervention data frames on `s`, `outcome`, and `age_group`. +#' \item Calculates the total number of cases averted and the proportion of cases averted. +#' \item Recodes the age groups and outcomes to more descriptive labels. +#' \item Converts the recoded age groups and outcomes to factors with specific levels. +#' } +#' @examples +#' \dontrun{ +#' base <- data.frame(s = 1:5, outcome = rep("symptomatic", 5), age_group = 1:5, cases_total = c(100, 200, 150, 120, 130)) +#' interventions <- data.frame(s = 1:5, outcome = rep("symptomatic", 5), age_group = 1:5, cases_total = c(90, 180, 140, 110, 120)) +#' get_averted_df(base, interventions) +#' } +#' @import dplyr +#' @export +get_averted_df <- function(base, interventions) { + recode_age <- c("1" = "<1 month", "2" = "1 month", "3" = "2 month", "4" = "3 month", "5" = "4 month", + "6" = "5 month", "7" = "6 month", "8" = "7 month", "9" = "8 month", "10" = "9 month", "11" = "10 month", + "12" = "11 month", "13" = "1 year", "14" = "2 year", "15" = "3 years", "16" = "4 years", + "17" = "5+ years", "18" = "5+ years", "19" = "5+ years", "20" = "5+ years", "21" = "5+ years", + "22" = "5+ years", "23" = "5+ years", "24" = "5+ years", "25" = "5+ years") + relabel_outcomes <- c("symptomatic" = "Symptomatic cases", "gp" = "GP consultations", + "hosp" = "Hospital cases", "icu" = "ICU admissions", "a_e" = "A+E visits", "death" = "Deaths") + RSV_impact <- interventions %>% + left_join(base %>% rename(case_total_base = cases_total), by = c("s", "outcome", "age_group")) %>% + mutate(total_case_averted = case_total_base - cases_total) %>% mutate(prop_cases_averted = (case_total_base - cases_total) / case_total_base) %>% mutate(age_group = recode(age_group, !!!recode_age)) %>% + mutate(age_group = factor(age_group, levels = unique(recode_age))) %>% + mutate(outcome = recode(outcome, !!!relabel_outcomes)) %>% + mutate(outcome = factor(outcome, levels = unique(relabel_outcomes))) + RSV_impact } \ No newline at end of file diff --git a/inst/extdata/calendars/cal_mat_none.csv b/inst/extdata/calendars/cal_mat_none.csv new file mode 100644 index 0000000..e8f5a93 --- /dev/null +++ b/inst/extdata/calendars/cal_mat_none.csv @@ -0,0 +1,26 @@ +age_group,start_date,end_date,coverage,uptake +<1mo,,,0, +1mo,,,0, +2mo,,,0, +3mo,,,0, +4mo,,,0, +5mo,,,0, +6mo,,,0, +7mo,,,0, +8mo,,,0, +9mo,,,0, +10mo,,,0, +11mo,,,0, +1yr,,,0, +2yr,,,0, +3yr,,,0, +4yr,,,0, +5-9yr,,,0, +10-14yr,,,0, +15-24yr,,,0.6,birth_rate +25-34yr,,,0.6,birth_rate +35-44yr,,,0.6,birth_rate +45-55yr,,,0, +55-64yr,,,0, +65-74yr,,,0, +75yr,,,0, \ No newline at end of file diff --git a/inst/extdata/econ/econ_pars.csv b/inst/extdata/econ/econ_pars.csv deleted file mode 100644 index d79e5f6..0000000 --- a/inst/extdata/econ/econ_pars.csv +++ /dev/null @@ -1,151 +0,0 @@ -age_group,outcome,ref_qaly,mean_qaly,lb_95_qaly,ub_95_qaly,ref_costs,mean_costs,lb_95_costs,ub_95_costs -<1mo,symptomatic,Hodgson2020,0.002336,0.000269,0.009255,,0,, -1mo,symptomatic,Hodgson2020,0.002336,0.000269,0.009255,,0,, -2mo,symptomatic,Hodgson2020,0.002336,0.000269,0.009255,,0,, -3mo,symptomatic,Hodgson2020,0.002336,0.000269,0.009255,,0,, -4mo,symptomatic,Hodgson2020,0.002336,0.000269,0.009255,,0,, -5mo,symptomatic,Hodgson2020,0.002336,0.000269,0.009255,,0,, 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b/inst/extdata/econ/outcomes_incidence.csv @@ -70,10 +70,10 @@ 15-24yr,inc,death,Fleming2015,0,0,1 25-34yr,inc,death,Fleming2015,0,0,1 35-44yr,inc,death,Fleming2015,0,0,1 -45-55yr,inc,death,Fleming2015,6,5,7 -55-64yr,inc,death,Fleming2015,6,5,7 -65-74yr,inc,death,Fleming2015,29,21,33 -75yr,inc,death,Fleming2015,155,108,213 +45-55yr,inc,death,Fleming2015,1.83,1.342,2.196 +55-64yr,inc,death,Fleming2015,1.83,1.342,2.196 +65-74yr,inc,death,Fleming2015,4.331,3.172,5.49 +75yr,inc,death,Fleming2015,15.311,11.346,19.276 <1mo,n,hosp,Reeves2019,1772,1712,1913 1mo,n,hosp,Reeves2019,4174,3995,4312 2mo,n,hosp,Reeves2019,3184,3073,3371 @@ -100,21 +100,21 @@ 65-74yr,inc,hosp,Sharpe2022,71,52,90 75yr,inc,hosp,Sharpe2022,251,186,316 <1mo,inc,a_e,AjayiObe2008,11200,NA,NA -1mo,inc,a_e,AjayiObe2008,10683,NA,NA -2mo,inc,a_e,AjayiObe2008,4764,NA,NA -3mo,inc,a_e,AjayiObe2008,3726,NA,NA -4mo,inc,a_e,AjayiObe2008,1356,NA,NA -5mo,inc,a_e,AjayiObe2008,1122,NA,NA -6mo,inc,a_e,AjayiObe2008,241,NA,NA -7mo,inc,a_e,AjayiObe2008,0,NA,NA -8mo,inc,a_e,AjayiObe2008,0,NA,NA -9mo,inc,a_e,AjayiObe2008,0,NA,NA -10mo,inc,a_e,AjayiObe2008,0,NA,NA -11mo,inc,a_e,AjayiObe2008,0,NA,NA -1yr,inc,a_e,AjayiObe2008,0,NA,NA -2yr,inc,a_e,AjayiObe2008,0,NA,NA -3yr,inc,a_e,AjayiObe2008,0,NA,NA -4yr,inc,a_e,AjayiObe2008,0,NA,NA +1mo,inc,a_e,AjayiObe2008,11200,NA,NA +2mo,inc,a_e,AjayiObe2008,11200,NA,NA +3mo,inc,a_e,AjayiObe2008,11200,NA,NA +4mo,inc,a_e,AjayiObe2008,11200,NA,NA +5mo,inc,a_e,AjayiObe2008,11200,NA,NA +6mo,inc,a_e,AjayiObe2008,10683,NA,NA +7mo,inc,a_e,AjayiObe2008,10683,NA,NA +8mo,inc,a_e,AjayiObe2008,10683,NA,NA +9mo,inc,a_e,AjayiObe2008,10683,NA,NA +10mo,inc,a_e,AjayiObe2008,10683,NA,NA +11mo,inc,a_e,AjayiObe2008,10683,NA,NA +1yr,inc,a_e,AjayiObe2008,4764,NA,NA +2yr,inc,a_e,AjayiObe2008,3726,NA,NA +3yr,inc,a_e,AjayiObe2008,1356,NA,NA +4yr,inc,a_e,AjayiObe2008,1122,NA,NA 5-9yr,inc,a_e,AjayiObe2008,0,NA,NA 10-14yr,inc,a_e,AjayiObe2008,0,NA,NA 15-24yr,inc,a_e,AjayiObe2008,0,NA,NA @@ -145,7 +145,7 @@ 15-24yr,inc,icu,Thwaites2020,0,0,0 25-34yr,inc,icu,Thwaites2020,0,0,0 35-44yr,inc,icu,Thwaites2020,0,0,0 -45-55yr,inc,icu,Thwaites2020,0,0,0 +45-55yr,inc,icu,Walsh2020,6,4.4,7.2 55-64yr,inc,icu,Walsh2020,6,4.4,7.2 -65-74yr,inc,icu,Walsh2020,14.2,10.4,18 -75yr,inc,icu,Walsh2020,50.2,37.2,63.2 \ No newline at end of file +65-74yr,inc,icu,Walsh2020,18.46,13.52,23.4 +75yr,inc,icu,Walsh2020,65.26,48.36,82.16 \ No newline at end of file diff --git a/inst/extdata/econ/outcomes_incidence_high_mort.csv b/inst/extdata/econ/outcomes_incidence_high_mort.csv new file mode 100644 index 0000000..62b11c5 --- /dev/null +++ b/inst/extdata/econ/outcomes_incidence_high_mort.csv @@ -0,0 +1,151 @@ +age_group,metric,outcome,ref,mean,lb_95,ub_95 +<1mo,inc_inf,symptomatic,Model,90840,84200,96900 +1mo,inc_inf,symptomatic,Model,90840,84200,96900 +2mo,inc_inf,symptomatic,Model,90840,84200,96900 +3mo,inc_inf,symptomatic,Model,90840,84200,96900 +4mo,inc_inf,symptomatic,Model,90840,84200,96900 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Load package and functions -This vignette explains how to use the `rsvie` package to evaluate the impact of different RSV intervention programmes. The package is designed to be flexible and allow the user to define different intervention programmes, with different immunological profiles, and evaluate their impact on RSV outcomes. - - -```{r, load libraries, echo=FALSE, results='hide'} - -# Load the package (or library(rsvie)) -devtools::load_all() - -# This defines an RSVProgramme class -RSVempty <- make_rsv_programme(1) - -# To see what is in these slots -RSVempty %>% str - -``` - -Let's have a more detailed look at what's in these slots. I wouldn't recommend changing them, but future package iterations should allow for more flexibility. - -```{r check, echo=FALSE, results='hide'} - -RSVempty@prog_name # Name of the programme considered (currently empty) -RSVempty@econ_name # Name of the economics considered (currently empty) -RSVempty@uk_data # UK-specific parameters which are used to define the model (RSVempty@model is copied from this) -RSVempty@model # This is the R interface to the cpp class defined in src/RunIntervention.cpp -RSVempty@model_par # This gives the burn-in and run_yrs (how long the model is run for after bur-in). -RSVempty@econ_par # Parameters associated with the economics of the model, time_horizon is currently set to 10 years, and the discount rate is 3.5% -RSVempty@post # Posterior distributions fitted to UK-specific data -RSVempty@uk_data$populationAgeGroup # Posterior distributions fitted to UK-specific data - -``` - -## 2. Add estimate pre-vaccination burden and risks of the programme - -With this empty class, we now add information on the economics of the model. This includes the health outcomes considered, the risk of each health outcome occurring per infection, and the QALY loss and cost of each outcome. -First, we define the risk of each health outcome per age group: - -```{r incidence, echo=FALSE, results='hide'} - -# The risk of health outcome per infection can be difficult to obtain from the literature. However, we can aggregate different burden estimates into -# a spreadsheet and convert them. For example, take the outcomes_incidence.csv included with the package. This has different -# types of incidence estimates: - -outcomes_incidence <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcomes_incidence.csv")) - -# `outcomes_incidence` includes the incidence of each outcome per age group. This can be done by rates of incidence per 100,000 infected individuals -# (`inc_inf` in the metric column), or rates of incidence per 100,000 individuals (inc in the metric column), or the absolute number of cases per year ('n' in the metric column). -# The user can copy this Excel spreadsheet and change the incidences according to their beliefs. - -# To estimate the risk per infection of each outcome, we need to load the model-predicted number of cases and -# covert `inc` and `n` to `inc_inf`: - -# This loads the model-predicted incidence in each age group -model_cases_sample_mean_get <- load(file = system.file(package = "rsvie", "extdata", "model_cases_sample_mean.RData")) -model_cases_sample_mean <- get(model_cases_sample_mean_get) - -# This function then converts `outcomes_incidence` to the risk per infection of each outcome -risks_raw <- covert_raw_to_risk(RSVempty, outcomes_incidence, model_cases_sample_mean) - -# For Palivizumab risks, we have a preloaded package from literature -risks_vhr_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcome_risks_vhr.csv")) - -``` - -## 3. Add in the economics (cost and QALYs) per outcome - -Now, we need to load the QALY loss and cost for each outcome per age group. - -```{r risks, echo=FALSE, results='hide'} - -# Similar to before, we load an Excel spreadsheet with all this information -econ_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "econ_pars.csv")) - -# For QALY, we have the QALY loss per outcome per age group with the mean and confidence intervals if available -# For cost, we have the cost per outcome per age group with mean and confidence intervals if available. -# The user can copy this Excel spreadsheet and change the QALY loss and costs according to their beliefs. - - -# Finally we can call: - -RSVempty <- add_economics(RSVempty, econ_name = "E_W2023", econ_raw, risks_raw, risks_vhr_raw) - -# We can check the slots to make sure these have been added properly -RSVempty@risks_df -RSVempty@econ_df -RSVempty@outcomes_vec # vector of outcomes considered - -# Note: To help with sampling times, the model fits a triangular distribution to each risk and economic outcome and samples 1000 values. -# These values can be seen here -RSVempty@samples_outcomes - -# You can also make some plots by calling: -plot_economics(RSVempty) -plot_economics_fit(RSVempty) - -``` - - -## 5. Add intervention programmes - -With the economics and risks defined, we can now define an intervention programme. We have several vignettes showing how to evaluate various types of programmes that use different products. Here is a simple example: - -```{r calendars, echo=FALSE, results='hide'} - -# To evaluate a seasonal monoclonal given at birth, we load an Excel spreadsheet such as: -cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) -cal_lav_oa_65 <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_lav_oa_65.csv")) - -# In this spreadsheet you can define the start and end date for each age group and the coverage. Note the year doesn't matter, but if you -# wish to evaluate over a seasonal from Dec -> Jan, the year must increase by 1 -# The uptake is defined as linear, which means through the administration window, it is given uniformly. This is appropriate for a product given at birth -# other options are available for different programmes, e.g. older adults, where uptake is higher at the start of the season. See `*_lav` vignette. - -``` - -## 6. Define the immunological profile of the product used - -```{r load immunology, echo=FALSE, results='hide'} - -oa_papi_nobound_wane_get <- load(file = system.file(package = "rsvie", "extdata", "efficacies", "oa_papi_nobound_post_wane.RData")) -oa_papi_nobound_wane <- get(oa_papi_nobound_wane_get) -disease_eff <- read_rds( here::here("inst", "extdata", "efficacies", "disease_specific.rda")) - -``` - -We must also define the immunological profile of the product we are evaluating. To do this, we define a list with two entries -* `mass`, defines the immunological profile for the mass administration product -* `vhr`, defines the immunological profile for the palivizumab programme -* `disease_eff`, if efficacy changes for different outcomes, the values can be given here, and the outputs will be adjusted accordingly. - -For `mass` and `vhr`, we define a list with the following options: - -* `product`, name of the product evaluated. This can be `mat` for maternal programme, `mab` for long-acting monoclonal antibodies, or `lav` for live active vaccine (older adults) -* `wane function`, defined as "a * exp(b * t)", currently, this doesn't do anything, but in future iterations, this will allow the user to define different options. The default assumption on waning is Erlang-3. -* `a` is the proportion of vaccinated infants that move to the protected group -* `b` is the rate at which people lose immunity between each of the three vaccinated compartments -* `sero_delay` the delay between vaccination and acquiring immunity (instant for mabs) - -An example of mabs is given below: - -```{r define immunology, echo=FALSE, results='hide'} - -immune_profile_lav <- list( - mass = list( - product = "lav", - wane_function = "a * exp(b * t))", a = oa_papi_nobound_wane$wane_a_er3, b = 1/oa_papi_nobound_wane$wane_b_er3, - sero_delay = "none" - ), - vhr = list( - product = "pal", - wane_function = "a * exp(b * t))", a = 0.7, b = 1 / 60, - sero_delay = "none" - ), - disease_eff = disease_eff, - direct = FALSE -) - - -``` - -How do we know `a` and `b` in the immunological definitions? We used a Bayesian model fit defined in the package ``, with more details in the SI of the paper. -We emphasise that the immune waning follows a Erlang-3 distribution. In future developments of this package we will add other options. For now, we recommend using the default options for immune waning defined in the package. - -We can then add the immunological profile and intervention programme to the class, which has its economics defined, by the function: - -```{r add programme, echo=FALSE, results='hide'} - -RSV_mab_s <- add_programme(RSVempty, prog_name = "mab_s", cal_lav_oa_65, cal_vhr_s, immune_profile_lav) - -``` - - -## 7. Simulate the intervention programme - -To simulate a programme, we call `rsvie::run` on the class defined above. This will simulate the programme and return a class with the results. - -```{r run, echo=FALSE, results='hide'} - -RSV_mab_s <- rsvie::run(RSV_mab_s) - -``` - -## 8. Extract incidence for further exploration - -```{r post-process, echo=FALSE, results='hide'} - -checkout_incidence(RSV_mab_s) - -``` \ No newline at end of file diff --git a/vignettes/example_mab.Rmd b/vignettes/example_mab.Rmd new file mode 100644 index 0000000..d0c2762 --- /dev/null +++ b/vignettes/example_mab.Rmd @@ -0,0 +1,123 @@ +--- +title: "Using the RSV Impact Evaluation `rsvie` Package (A)" +author: "Your Name" +date: "`r Sys.Date()`" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +# Markdown explaining how to use the RSV impact evaluation `rsvie` package + +## 1. Load package and functions +This vignette explains how to use the `rsvie` package to evaluate the impact of different RSV intervention programmes. The package is designed to be flexible and allow the user to define different intervention programmes, with different immunological profiles, and evaluate their impact on RSV outcomes. + + +```{r, load libraries, echo=FALSE, results='hide'} + +# Load the package (or library(rsvie)) +devtools::load_all() + +# This defines an RSVProgramme class +RSVempty <- make_rsv_programme(1) + +# To see what is in these slots +RSVempty %>% str + +``` + +Let's have a more detailed look at what's in these slots. I wouldn't recommend changing them, but future package iterations should allow for more flexibility. + +```{r check, echo=FALSE, results='hide'} + +RSVempty@prog_name # Name of the programme considered (currently empty) +RSVempty@econ_name # Name of the economics considered (currently empty) +RSVempty@uk_data # UK-specific parameters which are used to define the model (RSVempty@model is copied from this) +RSVempty@model # This is the R interface to the cpp class defined in src/RunIntervention.cpp +RSVempty@model_par # This gives the burn-in and run_yrs (how long the model is run for after bur-in). +RSVempty@econ_par # Parameters associated with the economics of the model, time_horizon is currently set to 10 years, and the discount rate is 3.5% +RSVempty@post # Posterior distributions fitted to UK-specific data +RSVempty@uk_data$populationAgeGroup # Posterior distributions fitted to UK-specific data + +``` + +## 2. Add estimate pre-vaccination burden and risks of the programme + +With this empty class, we now add information on the economics of the model. This includes the health outcomes considered, the risk of each health outcome occurring per infection, and the QALY loss and cost of each outcome. +First, we define the risk of each health outcome per age group: + +```{r incidence, echo=FALSE, results='hide'} + +econ_raw_ss <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "econ_pars_ss.csv")) +risks_vhr_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcome_risks_vhr.csv")) + +outcomes_incidence <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcomes_incidence.csv")) +model_cases_sample_mean_get <- load(file = system.file(package = "rsvie", "extdata", "model_cases_sample_mean.RData")) +model_cases_sample_mean <- get(model_cases_sample_mean_get) + +# This function then converts the incidence of the outcome to the risk per infection +risks_raw <- covert_raw_to_risk(RSVempty, outcomes_incidence, model_cases_sample_mean) + +RSVempty_ss <- add_economics(RSVempty, econ_name = "E_W2023", econ_raw_ss, risks_raw, risks_vhr_raw) + +``` + +## 3. Add in immunology + +Now, we need to load the QALY loss and cost for each outcome per age group. + +```{r risks, echo=FALSE, results='hide'} + +immune_profile <- readRDS(file = system.file(package = "rsvie", "extdata", "efficacies", "immune_profiles_unbound.RDS")) + +``` + + +## 5. Add intervention programmes + +With the economics and risks defined, we can now define an intervention programme. We have several vignettes showing how to evaluate various types of programmes that use different products. Here is a simple example: + +```{r calendars, echo=FALSE, results='hide'} + +# To evaluate a seasonal monoclonal given at birth, we load an Excel spreadsheet such as: +cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_none.csv")) +cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) +cal_mabs_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mabs_s.csv")) + +RSV_mab_vhr <- add_programme(RSVempty, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mabs) +RSV_mab_s <- add_programme(RSVempty, prog_name = "mab_s", cal_mabs_s, cal_vhr_s, immune_profile$mabs) + + +``` + + + +## 7. Simulate the intervention programme + +To simulate a programme, we call `rsvie::run` on the class defined above. This will simulate the programme and return a class with the results. + +```{r run, echo=FALSE, results='hide'} + +# base vase +RSV_mab_vhr <- rsvie::run(RSV_mab_vhr) +# seasonal +RSV_mab_s <- rsvie::run(RSV_mab_s) + +``` + +## 8. Extract incidence for further exploration + +```{r post-process, echo=FALSE, results='hide'} + +# Look at full posterior outcomes +RSV_mab_s@outcomes$outcomes + +# summari outcomes annually +RSV_mab_vhr_sum <- summarise_outcomes(RSV_mab_vhr) +RSV_mab_s_sum <- summarise_outcomes(RSV_mab_s) + +get_averted_df(RSV_mab_vhr_sum, RSV_mab_s_sum) + +``` \ No newline at end of file diff --git a/vignettes/example_mat.Rmd b/vignettes/example_mat.Rmd new file mode 100644 index 0000000..9a2a094 --- /dev/null +++ b/vignettes/example_mat.Rmd @@ -0,0 +1,123 @@ +--- +title: "Using the RSV Impact Evaluation `rsvie` Package (A)" +author: "Your Name" +date: "`r Sys.Date()`" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +# Markdown explaining how to use the RSV impact evaluation `rsvie` package + +## 1. Load package and functions +This vignette explains how to use the `rsvie` package to evaluate the impact of different RSV intervention programmes. The package is designed to be flexible and allow the user to define different intervention programmes, with different immunological profiles, and evaluate their impact on RSV outcomes. + + +```{r, load libraries, echo=FALSE, results='hide'} + +# Load the package (or library(rsvie)) +devtools::load_all() + +# This defines an RSVProgramme class +RSVempty <- make_rsv_programme(1) + +# To see what is in these slots +RSVempty %>% str + +``` + +Let's have a more detailed look at what's in these slots. I wouldn't recommend changing them, but future package iterations should allow for more flexibility. + +```{r check, echo=FALSE, results='hide'} + +RSVempty@prog_name # Name of the programme considered (currently empty) +RSVempty@econ_name # Name of the economics considered (currently empty) +RSVempty@uk_data # UK-specific parameters which are used to define the model (RSVempty@model is copied from this) +RSVempty@model # This is the R interface to the cpp class defined in src/RunIntervention.cpp +RSVempty@model_par # This gives the burn-in and run_yrs (how long the model is run for after bur-in). +RSVempty@econ_par # Parameters associated with the economics of the model, time_horizon is currently set to 10 years, and the discount rate is 3.5% +RSVempty@post # Posterior distributions fitted to UK-specific data +RSVempty@uk_data$populationAgeGroup # Posterior distributions fitted to UK-specific data + +``` + +## 2. Add estimate pre-vaccination burden and risks of the programme + +With this empty class, we now add information on the economics of the model. This includes the health outcomes considered, the risk of each health outcome occurring per infection, and the QALY loss and cost of each outcome. +First, we define the risk of each health outcome per age group: + +```{r incidence, echo=FALSE, results='hide'} + +econ_raw_ss <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "econ_pars_ss.csv")) +risks_vhr_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcome_risks_vhr.csv")) + +outcomes_incidence <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcomes_incidence.csv")) +model_cases_sample_mean_get <- load(file = system.file(package = "rsvie", "extdata", "model_cases_sample_mean.RData")) +model_cases_sample_mean <- get(model_cases_sample_mean_get) + +# This function then converts the incidence of the outcome to the risk per infection +risks_raw <- covert_raw_to_risk(RSVempty, outcomes_incidence, model_cases_sample_mean) + +RSVempty_ss <- add_economics(RSVempty, econ_name = "E_W2023", econ_raw_ss, risks_raw, risks_vhr_raw) + +``` + +## 3. Add in immunology + +Now, we need to load the QALY loss and cost for each outcome per age group. + +```{r risks, echo=FALSE, results='hide'} + +immune_profile <- readRDS(file = system.file(package = "rsvie", "extdata", "efficacies", "immune_profiles_unbound.RDS")) + +``` + + +## 4. Add intervention programmes + +With the economics and risks defined, we can now define an intervention programme. We have several vignettes showing how to evaluate various types of programmes that use different products. Here is a simple example: + +```{r calendars, echo=FALSE, results='hide'} + +# To evaluate a seasonal monoclonal given at birth, we load an Excel spreadsheet such as: +cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mat_none.csv")) +cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) +cal_mat_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mat_s.csv")) + +RSV_mat_vhr <- add_programme(RSVempty, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mat_vhr) +RSV_mat_s <- add_programme(RSVempty, prog_name = "mab_s", cal_lav_65, cal_vhr_s, immune_profile$mat) + + +``` + + + +## 5. Simulate the intervention programme + +To simulate a programme, we call `rsvie::run` on the class defined above. This will simulate the programme and return a class with the results. + +```{r run, echo=FALSE, results='hide'} + +# base vase +RSV_mat_vhr <- rsvie::run(RSV_mat_vhr) +# seasonal +RSV_mat_s <- rsvie::run(RSV_mat_s) + +``` + +## 6. Extract incidence for further exploration + +```{r post-process, echo=FALSE, results='hide'} + +# Look at full posterior outcomes +RSV_mat_s@outcomes$outcomes + +# summari outcomes annually +RSV_mat_vhr_sum <- summarise_outcomes(RSV_mat_vhr) +RSV_mat_s_sum <- summarise_outcomes(RSV_mab_t) + +get_averted_df(RSV_mat_vhr_sum, RSV_mat_s_sum) + +``` \ No newline at end of file diff --git a/vignettes/example_oa.Rmd b/vignettes/example_oa.Rmd new file mode 100644 index 0000000..c8a18b6 --- /dev/null +++ b/vignettes/example_oa.Rmd @@ -0,0 +1,121 @@ +--- +title: "Using the RSV Impact Evaluation `rsvie` Package (A)" +author: "Your Name" +date: "`r Sys.Date()`" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +# Markdown explaining how to use the RSV impact evaluation `rsvie` package + +## 1. Load package and functions +This vignette explains how to use the `rsvie` package to evaluate the impact of different RSV intervention programmes. The package is designed to be flexible and allow the user to define different intervention programmes, with different immunological profiles, and evaluate their impact on RSV outcomes. + + +```{r, load libraries, echo=FALSE, results='hide'} + +# Load the package (or library(rsvie)) +devtools::load_all() + +# This defines an RSVProgramme class +RSVempty <- make_rsv_programme(1) + +# To see what is in these slots +RSVempty %>% str + +``` + +Let's have a more detailed look at what's in these slots. I wouldn't recommend changing them, but future package iterations should allow for more flexibility. + +```{r check, echo=FALSE, results='hide'} + +RSVempty@prog_name # Name of the programme considered (currently empty) +RSVempty@econ_name # Name of the economics considered (currently empty) +RSVempty@uk_data # UK-specific parameters which are used to define the model (RSVempty@model is copied from this) +RSVempty@model # This is the R interface to the cpp class defined in src/RunIntervention.cpp +RSVempty@model_par # This gives the burn-in and run_yrs (how long the model is run for after bur-in). +RSVempty@econ_par # Parameters associated with the economics of the model, time_horizon is currently set to 10 years, and the discount rate is 3.5% +RSVempty@post # Posterior distributions fitted to UK-specific data +RSVempty@uk_data$populationAgeGroup # Posterior distributions fitted to UK-specific data + +``` + +## 2. Add estimate pre-vaccination burden and risks of the programme + +With this empty class, we now add information on the economics of the model. This includes the health outcomes considered, the risk of each health outcome occurring per infection, and the QALY loss and cost of each outcome. +First, we define the risk of each health outcome per age group: + +```{r incidence, echo=FALSE, results='hide'} + +econ_raw_ss <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "econ_pars_ss.csv")) +risks_vhr_raw <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcome_risks_vhr.csv")) + +outcomes_incidence <- read.csv(file = system.file(package = "rsvie", "extdata", "econ", "outcomes_incidence.csv")) +model_cases_sample_mean_get <- load(file = system.file(package = "rsvie", "extdata", "model_cases_sample_mean.RData")) +model_cases_sample_mean <- get(model_cases_sample_mean_get) + +# This function then converts the incidence of the outcome to the risk per infection +risks_raw <- covert_raw_to_risk(RSVempty, outcomes_incidence, model_cases_sample_mean) + +RSVempty_ss <- add_economics(RSVempty, econ_name = "E_W2023", econ_raw_ss, risks_raw, risks_vhr_raw) + +``` + +## 3. Add in immunology + +Now, we need to load the QALY loss and cost for each outcome per age group. + +```{r risks, echo=FALSE, results='hide'} + +immune_profile <- readRDS(file = system.file(package = "rsvie", "extdata", "efficacies", "immune_profiles_unbound.RDS")) + +``` + +## 4. Add intervention programmes + +With the economics and risks defined, we can now define an intervention programme. We have several vignettes showing how to evaluate various types of programmes that use different products. Here is a simple example: + +```{r calendars, echo=FALSE, results='hide'} + +# To evaluate a seasonal monoclonal given at birth, we load an Excel spreadsheet such as: +cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mat_none.csv")) +cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) +cal_lav_65 <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_lav_65.csv")) + +RSV_65_vhr <- add_programme(RSVempty, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mat_vhr) +RSV_65_s <- add_programme(RSVempty, prog_name = "mab_s", cal_lav_65, cal_vhr_s, immune_profile$lav) + + +``` + + +## 5. Simulate the intervention programme + +To simulate a programme, we call `rsvie::run` on the class defined above. This will simulate the programme and return a class with the results. + +```{r run, echo=FALSE, results='hide'} + +# base vase +RSV_65_vhr <- rsvie::run(RSV_65_vhr) +# seasonal +RSV_65_s <- rsvie::run(RSV_65_s) + +``` + +## 6. Extract incidence for further exploration + +```{r post-process, echo=FALSE, results='hide'} + +# Look at full posterior outcomes +RSV_65_s@outcomes$outcomes + +# summari outcomes annually +RSV_65_vhr_sum <- summarise_outcomes(RSV_65_vhr) +RSV_65_s_sum <- summarise_outcomes(RSV_65_s) + +get_averted_df(RSV_65_vhr_sum, RSV_65_s_sum) + +``` \ No newline at end of file From eed8eb8aad174e7249c864e8b09fa7e5d0cc5791 Mon Sep 17 00:00:00 2001 From: David Date: Mon, 9 Dec 2024 10:31:31 +0000 Subject: [PATCH 3/3] R cmd check and vignettes passed --- .DS_Store | Bin 6148 -> 0 bytes .github/.gitignore | 0 .github/workflows/R-CMD-check.yaml | 54 +++ .github/workflows/pkgdown.yaml | 46 +++ DESCRIPTION | 3 + NAMESPACE | 2 + R/programmeClass.R | 2 +- R/run_methods.R | 7 +- R/utils.R | 7 +- docs/.nojekyll | 1 + docs/404.html | 111 +++++ docs/LICENSE.html | 279 +++++++++++++ docs/articles/example_mab.html | 176 ++++++++ docs/articles/example_mat.html | 176 ++++++++ docs/articles/example_oa.html | 182 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inst/extdata/.DS_Store | Bin 6148 -> 0 bytes man/checkout_incidence.Rd | 2 +- man/get_averted_df.Rd | 35 ++ man/summarise_outcomes.Rd | 18 + src/.DS_Store | Bin 6148 -> 0 bytes src/ascent/.DS_Store | Bin 6148 -> 0 bytes vignettes/.DS_Store | Bin 6148 -> 0 bytes vignettes/example_mab.Rmd | 19 +- vignettes/example_mat.Rmd | 12 +- vignettes/example_oa.Rmd | 20 +- 69 files changed, 6292 insertions(+), 35 deletions(-) delete mode 100644 .DS_Store create mode 100644 .github/.gitignore create mode 100644 .github/workflows/R-CMD-check.yaml create mode 100644 .github/workflows/pkgdown.yaml create mode 100644 docs/.nojekyll create mode 100644 docs/404.html create mode 100644 docs/LICENSE.html create mode 100644 docs/articles/example_mab.html create mode 100644 docs/articles/example_mat.html create mode 100644 docs/articles/example_oa.html create mode 100644 docs/articles/index.html create mode 100644 docs/authors.html create mode 100644 docs/bootstrap-toc.css create mode 100644 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create mode 100644 docs/reference/summarise_outcomes.html create mode 100644 docs/sitemap.xml delete mode 100644 inst/.DS_Store delete mode 100644 inst/extdata/.DS_Store create mode 100644 man/get_averted_df.Rd create mode 100644 man/summarise_outcomes.Rd delete mode 100644 src/.DS_Store delete mode 100644 src/ascent/.DS_Store delete mode 100644 vignettes/.DS_Store diff --git a/.DS_Store b/.DS_Store deleted file mode 100644 index a3763ce90f98763a0ae101e98ccf4890412ec9fd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeHK&2G~`5T0!e-2@?`3aN1OrMDpBHi1eA$qnJa4ao=&fLgnb5=)LZvYlEb4f3(i z06YNj9GrLoB<{QbNSvAdY3gFPLPA0)+L30z_0G)h?6>x=7XV0a>RSL!0HCNGjRqDK z!tGp3vZ7kn5Q*sH7R2B}77i_^-w(3dxpy#;o7> zLgw-K@AtlKeEj)or>d_p^Z&?iGP0cC#xx*+2ogxWESadWK6{feNYZxu3t6cdmoBeT z+MtcAjhD`dWlrj*)1>Fd&-v41HywGZ{)Dk`QFpzk!64ghUVp%%)D5CREP?}nfG#hd z1(DCP9-BsfBKmQpfzmpy?>2AFX4{+XmU*|^owv-Hwb|*k%+A)G`MgfoH>~@Q_Qr>= zW=HeaZzOvJcSa%C6rR9atSn~8cg*uWVp(H5wizQ9EB_zVlF(- z8nPY3enmFQQq0ABw{!eK=CZJ!u65a3kw+a4aE*t!$^(4=QY@2-u`9fad9d`yZN*8Y z=V?wCdsgIkvR2E9>dmBAmUDV~R+<6Lz+W)H_XiV|qpdKPD7FqP#1#P1z-A#>=XVJn zV=A;2<`U6@LS!hS3?=G{L1Z|#o665tm`jx5K-A@fsF8`fp%5`T_HPPzAhtwZY6dg| zXBnu;$0k4jAD(~zKO3ZeW%~UDXFuyG&z3Ony7oIT)1B@QG{Tjj$={b fNAV3*A!svs1<_WROT-ow{Uab~(1m8;pEB?Zi!aT| diff --git a/.github/.gitignore b/.github/.gitignore new file mode 100644 index 0000000..e69de29 diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml new file mode 100644 index 0000000..cb101fb --- /dev/null +++ b/.github/workflows/R-CMD-check.yaml @@ -0,0 +1,54 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples +# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +on: + push: + branches: [main, master] + pull_request: + branches: [main, master] + +name: R-CMD-check + +permissions: read-all + +jobs: + R-CMD-check: + runs-on: ${{ matrix.config.os }} + + name: ${{ matrix.config.os }} (${{ matrix.config.r }}) + + strategy: + fail-fast: false + matrix: + config: + - {os: macos-latest, r: 'release'} + - {os: windows-latest, r: 'release'} + - {os: ubuntu-latest, r: 'release'} + - {os: ubuntu-latest, r: 'oldrel-1'} + + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + R_KEEP_PKG_SOURCE: yes + + steps: + + - uses: actions/checkout@v4 + + - uses: r-lib/actions/setup-pandoc@v2 + + - uses: r-lib/actions/setup-r@v2 + with: + #r-version: 4.4.1 + r-version: ${{ matrix.config.r }} + http-user-agent: ${{ matrix.config.http-user-agent }} + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v2 + with: + extra-packages: any::rcmdcheck + needs: check + + - uses: r-lib/actions/check-r-package@v2 + with: + upload-snapshots: true + build_args: 'c("--no-manual","--compact-vignettes=gs+qpdf")' + error-on: '"error"' \ No newline at end of file diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml new file mode 100644 index 0000000..0670ef2 --- /dev/null +++ b/.github/workflows/pkgdown.yaml @@ -0,0 +1,46 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples +on: + push: + branches: [main, master] + pull_request: + branches: [main, master] + release: + types: [published] + workflow_dispatch: + +permissions: + contents: write + +name: pkgdown + +jobs: + pkgdown: + runs-on: ubuntu-latest + concurrency: + group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }} + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + steps: + - uses: actions/checkout@v3 + + - uses: r-lib/actions/setup-pandoc@v2 + + - uses: r-lib/actions/setup-r@v2 + with: + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v2 + with: + extra-packages: any::pkgdown, local::. + + - name: Build site + run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE) + shell: Rscript {0} + + - name: Deploy to GitHub Pages 🚀 + if: github.event_name != 'pull_request' + uses: JamesIves/github-pages-deploy-action@v4.4.1 + with: + clean: false + branch: gh-pages + folder: docs # Jekyll outputs to the _site folder by default \ No newline at end of file diff --git a/DESCRIPTION b/DESCRIPTION index e05b600..8bbf300 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -34,6 +34,8 @@ Imports: readr, stringr Suggests: + knitr, + rmarkdown, usethis, roxygen2, devtools, @@ -42,4 +44,5 @@ LinkingTo: Rcpp, RcppEigen, BH +VignetteBuilder: knitr Config/testthat/edition: 3 diff --git a/NAMESPACE b/NAMESPACE index ae977cc..153a1bc 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -10,6 +10,7 @@ export(compare_interventions) export(convert_efficacies) export(convert_to_outcomes) export(covert_raw_to_risk) +export(get_averted_df) export(get_coverage) export(get_daily_uptake) export(make_RunInterventions) @@ -20,6 +21,7 @@ export(plot_economics) export(plot_outcomes) export(run) export(run_state) +export(summarise_outcomes) exportClasses(RSVProgramme) exportMethods(add_economics) exportMethods(add_programme) diff --git a/R/programmeClass.R b/R/programmeClass.R index e357f4b..c4452dd 100644 --- a/R/programmeClass.R +++ b/R/programmeClass.R @@ -305,7 +305,7 @@ setMethod("run", signature(object = "RSVProgramme"), function(object, direct = FALSE, filename = NULL, yr_num = 2) { cat("Running: Iterating through model simulations\n") - future::plan(multisession, workers = 16) + # future::plan(multisession, workers = 1) raw_inci <- map(seq_len(object@S), function(x) { diff --git a/R/run_methods.R b/R/run_methods.R index d6599c8..5bda54e 100644 --- a/R/run_methods.R +++ b/R/run_methods.R @@ -118,12 +118,12 @@ convert_to_outcomes <- function(object, yrsum = 2) { # Get the risk, incidence, costs and qalys outcome_per_sample <- list() - cat("S: ", S, "\n") + # cat("S: ", S, "\n") for (s in 1:S) { - cat("HERE") outcome_per_sample[[s]] <- outcomes_vec %>% map_df( function(x) { + inci_risk_hc <- t(LR_inci[[s]] * (1 - LR_prot[[x]])) inci_risk_hc_vhr <- t(VHR_inci[[s]] * (1 - VHR_prot[[x]])) @@ -140,8 +140,9 @@ convert_to_outcomes <- function(object, yrsum = 2) { ) } + + outcomes_week_age <- outcome_per_sample %>% bind_rows - cat(str(outcomes_week_age)) dis_qaly_df <- outcomes_week_age %>% mutate(qaly = qaly * exp(-(week_no * discount_rate / 52.0))) %>% group_by(outcome, age_group, s) %>% summarise(qaly = sum(qaly)) dis_cost_df <- outcomes_week_age %>% mutate(cost = cost * exp(-(week_no * discount_rate / 52.0))) %>% group_by(outcome, age_group, s) %>% summarise(cost = sum(cost)) diff --git a/R/utils.R b/R/utils.R index 018c708..7fe524c 100644 --- a/R/utils.R +++ b/R/utils.R @@ -119,9 +119,6 @@ compare_interventions <- function(obj_base, obj_inter) { #' @return A data frame with the total number of cases grouped by `s`, `outcome`, and `age_group`. #' @import dplyr #' @export -#' @examples -#' # Assuming `data` is an object with the appropriate structure -#' summarise_outcomes(data) summarise_outcomes <- function(x) { x@outcomes$outcomes %>% group_by(s, outcome, age_group) %>% summarise(cases_total = sum(cases) ) } @@ -151,8 +148,8 @@ get_averted_df <- function(base, interventions) { recode_age <- c("1" = "<1 month", "2" = "1 month", "3" = "2 month", "4" = "3 month", "5" = "4 month", "6" = "5 month", "7" = "6 month", "8" = "7 month", "9" = "8 month", "10" = "9 month", "11" = "10 month", "12" = "11 month", "13" = "1 year", "14" = "2 year", "15" = "3 years", "16" = "4 years", - "17" = "5+ years", "18" = "5+ years", "19" = "5+ years", "20" = "5+ years", "21" = "5+ years", - "22" = "5+ years", "23" = "5+ years", "24" = "5+ years", "25" = "5+ years") + "17" = "5-9 years", "18" = "10-14 years", "19" = "15-24 years", "20" = "25-34 years", "21" = "35-44 years", + "22" = "45-54 years", "23" = "55-64 years", "24" = "65-74 years", "25" = "75+ years") relabel_outcomes <- c("symptomatic" = "Symptomatic cases", "gp" = "GP consultations", "hosp" = "Hospital cases", "icu" = "ICU admissions", "a_e" = "A+E visits", "death" = "Deaths") RSV_impact <- interventions %>% diff --git a/docs/.nojekyll b/docs/.nojekyll new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/docs/.nojekyll @@ -0,0 +1 @@ + diff --git a/docs/404.html b/docs/404.html new file mode 100644 index 0000000..84f0dee --- /dev/null +++ b/docs/404.html @@ -0,0 +1,111 @@ + + + + + + + +Page not found (404) • rsvie + + + + + + + + + + + +

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+

Nothing in this License shall be construed as excluding or limiting any implied license or other defenses to infringement that may otherwise be available to you under applicable patent law.

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12. No Surrender of Others’ Freedom

+

If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program.

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+

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+

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+

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END OF TERMS AND CONDITIONS

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How to Apply These Terms to Your New Programs

+

If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms.

+

To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found.

+
<one line to give the program's name and a brief idea of what it does.>
+Copyright (C) <year>  <name of author>
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with this program.  If not, see <http://www.gnu.org/licenses/>.
+

Also add information on how to contact you by electronic and paper mail.

+

If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode:

+
<program>  Copyright (C) <year>  <name of author>
+This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'.
+This is free software, and you are welcome to redistribute it
+under certain conditions; type 'show c' for details.
+

The hypothetical commands show w and show c should show the appropriate parts of the General Public License. Of course, your program’s commands might be different; for a GUI interface, you would use an “about box”.

+

You should also get your employer (if you work as a programmer) or school, if any, to sign a “copyright disclaimer” for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see <http://www.gnu.org/licenses/>.

+

The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read <http://www.gnu.org/philosophy/why-not-lgpl.html>.

+
+
+ +
+ + + +
+ + + +
+ +
+

Site built with pkgdown 2.1.1.

+
+ +
+ + + + + + + + diff --git a/docs/articles/example_mab.html b/docs/articles/example_mab.html new file mode 100644 index 0000000..0d7dc43 --- /dev/null +++ b/docs/articles/example_mab.html @@ -0,0 +1,176 @@ + + + + + + + +Evaluating RSV monoclonal antibody programmes • rsvie + + + + + + + + + + + +
+
+ + + + +
+
+ + + + +
+

Markdown explaining how to use the RSV impact evaluation +rsvie package +

+

## 1. Load package and functions This vignette explains how to use +the rsvie package to evaluate the impact of different RSV +intervention programmes. The package is designed to be flexible and +allow the user to define different intervention programmes, with +different immunological profiles, and evaluate their impact on RSV +outcomes.

+
##  Loading rsvie
+## Creating a new generic function for 'run' in package 'rsvie'
+

Let’s have a more detailed look at what’s in these slots. I wouldn’t +recommend changing them, but future package iterations should allow for +more flexibility.

+
+

2. Add estimate pre-vaccination burden and risks of the +programme +

+

With this empty class, we now add information on the economics of the +model. This includes the health outcomes considered, the risk of each +health outcome occurring per infection, and the QALY loss and cost of +each outcome. First, we define the risk of each health outcome per age +group:

+
## Loading required package: EnvStats
+
## 
+## Attaching package: 'EnvStats'
+
## The following objects are masked from 'package:stats':
+## 
+##     predict, predict.lm
+
+
+

3. Add in immunology +

+

Now, we need to load the QALY loss and cost for each outcome per age +group.

+
+
+

4. Add intervention programmes +

+

With the economics and risks defined, we can now define an +intervention programme. We have several vignettes showing how to +evaluate various types of programmes that use different products. Here +is a simple example:

+
+
+

5. Simulate the intervention programme +

+

To simulate a programme, we call rsvie::run on the class +defined above. This will simulate the programme and return a class with +the results.

+
+
+

6. Extract incidence for further exploration +

+
+
+
+ + + +
+ + + +
+ +
+

+

Site built with pkgdown 2.1.1.

+
+ +
+
+ + + + + + + + diff --git a/docs/articles/example_mat.html b/docs/articles/example_mat.html new file mode 100644 index 0000000..b99c551 --- /dev/null +++ b/docs/articles/example_mat.html @@ -0,0 +1,176 @@ + + + + + + + +Evaluating RSV maternal vaccination programmes • rsvie + + + + + + + + + + + +
+
+ + + + +
+
+ + + + +
+

Markdown explaining how to use the RSV impact evaluation +rsvie package +

+

## 1. Load package and functions This vignette explains how to use +the rsvie package to evaluate the impact of different RSV +intervention programmes. The package is designed to be flexible and +allow the user to define different intervention programmes, with +different immunological profiles, and evaluate their impact on RSV +outcomes.

+
##  Loading rsvie
+## Creating a new generic function for 'run' in package 'rsvie'
+

Let’s have a more detailed look at what’s in these slots. I wouldn’t +recommend changing them, but future package iterations should allow for +more flexibility.

+
+

2. Add estimate pre-vaccination burden and risks of the +programme +

+

With this empty class, we now add information on the economics of the +model. This includes the health outcomes considered, the risk of each +health outcome occurring per infection, and the QALY loss and cost of +each outcome. First, we define the risk of each health outcome per age +group:

+
## Loading required package: EnvStats
+
## 
+## Attaching package: 'EnvStats'
+
## The following objects are masked from 'package:stats':
+## 
+##     predict, predict.lm
+
+
+

3. Add in immunology +

+

Now, we need to load the QALY loss and cost for each outcome per age +group.

+
+
+

4. Add intervention programmes +

+

With the economics and risks defined, we can now define an +intervention programme. We have several vignettes showing how to +evaluate various types of programmes that use different products. Here +is a simple example:

+
+
+

5. Simulate the intervention programme +

+

To simulate a programme, we call rsvie::run on the class +defined above. This will simulate the programme and return a class with +the results.

+
+
+

6. Extract incidence for further exploration +

+
+
+
+ + + +
+ + + +
+ +
+

+

Site built with pkgdown 2.1.1.

+
+ +
+
+ + + + + + + + diff --git a/docs/articles/example_oa.html b/docs/articles/example_oa.html new file mode 100644 index 0000000..f76fcbb --- /dev/null +++ b/docs/articles/example_oa.html @@ -0,0 +1,182 @@ + + + + + + + +Evaluating RSV older adult vaccination programmes • rsvie + + + + + + + + + + + +
+
+ + + + +
+
+ + + + +
+

Markdown explaining how to use the RSV impact evaluation +rsvie package +

+

## 1. Load package and functions This vignette explains how to use +the rsvie package to evaluate the impact of different RSV +intervention programmes. The package is designed to be flexible and +allow the user to define different intervention programmes, with +different immunological profiles, and evaluate their impact on RSV +outcomes.

+
##  Loading rsvie
+## Creating a new generic function for 'run' in package 'rsvie'
+

Let’s have a more detailed look at what’s in these slots. I wouldn’t +recommend changing them, but future package iterations should allow for +more flexibility.

+
+

2. Add estimate pre-vaccination burden and risks of the +programme +

+

With this empty class, we now add information on the economics of the +model. This includes the health outcomes considered, the risk of each +health outcome occurring per infection, and the QALY loss and cost of +each outcome. First, we define the risk of each health outcome per age +group:

+
## Loading required package: EnvStats
+
## 
+## Attaching package: 'EnvStats'
+
## The following objects are masked from 'package:stats':
+## 
+##     predict, predict.lm
+
+
+

3. Add in immunology +

+

Now, we need to load the QALY loss and cost for each outcome per age +group.

+
+
+

4. Add intervention programmes +

+

With the economics and risks defined, we can now define an +intervention programme. We have several vignettes showing how to +evaluate various types of programmes that use different products. Here +is a simple example:

+
## Warning in read.table(system.file(package = "rsvie", "extdata", "uptakes_uk", :
+## incomplete final line found by readTableHeader on '/Users/lshdh2/Dropbox/Mac
+## (3)/Documents/research/rsv/packages/rsvie/inst/extdata/uptakes_uk/flu_oa.csv'
+## Warning in read.table(system.file(package = "rsvie", "extdata", "uptakes_uk", :
+## incomplete final line found by readTableHeader on '/Users/lshdh2/Dropbox/Mac
+## (3)/Documents/research/rsv/packages/rsvie/inst/extdata/uptakes_uk/flu_oa.csv'
+
+
+

5. Simulate the intervention programme +

+

To simulate a programme, we call rsvie::run on the class +defined above. This will simulate the programme and return a class with +the results.

+
+
+

6. Extract incidence for further exploration +

+
+
+
+ + + +
+ + + +
+ +
+

+

Site built with pkgdown 2.1.1.

+
+ +
+
+ + + + + + + + diff --git a/docs/articles/index.html b/docs/articles/index.html new file mode 100644 index 0000000..3a64db9 --- /dev/null +++ b/docs/articles/index.html @@ -0,0 +1,87 @@ + +Articles • rsvie + + +
+
+ + + +
+ + +
+ +
+

Site built with pkgdown 2.1.1.

+
+ +
+ + + + + + + + diff --git a/docs/authors.html b/docs/authors.html new file mode 100644 index 0000000..4a957f1 --- /dev/null +++ b/docs/authors.html @@ -0,0 +1,104 @@ + +Authors and Citation • rsvie + + +
+
+ + + +
+
+
+ + + +
  • +

    David Hodgson. Author, maintainer. +

    +
  • +
+
+
+

Citation

+ +
+
+ + +

Hodgson D (2024). +rsvie: A package for RSV Intervention Evaluations. +R package version 0.0.0.9000. +

+
@Manual{,
+  title = {rsvie: A package for RSV Intervention Evaluations},
+  author = {David Hodgson},
+  year = {2024},
+  note = {R package version 0.0.0.9000},
+}
+ +
+ +
+ + + +
+ +
+

Site built with pkgdown 2.1.1.

+
+ +
+ + + + + + + + diff --git a/docs/bootstrap-toc.css b/docs/bootstrap-toc.css new file mode 100644 index 0000000..5a85941 --- /dev/null +++ b/docs/bootstrap-toc.css @@ -0,0 +1,60 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ + +/* modified from https://github.com/twbs/bootstrap/blob/94b4076dd2efba9af71f0b18d4ee4b163aa9e0dd/docs/assets/css/src/docs.css#L548-L601 */ + +/* All levels of nav */ +nav[data-toggle='toc'] .nav > li > a { + display: block; + padding: 4px 20px; + font-size: 13px; + font-weight: 500; + color: #767676; +} +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 19px; + color: #563d7c; + text-decoration: none; + background-color: transparent; + border-left: 1px solid #563d7c; +} +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 18px; + font-weight: bold; + color: #563d7c; + background-color: transparent; + border-left: 2px solid #563d7c; +} + +/* Nav: second level (shown on .active) */ +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} +nav[data-toggle='toc'] .nav .nav > li > a { + padding-top: 1px; + padding-bottom: 1px; + padding-left: 30px; + font-size: 12px; + font-weight: normal; +} +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 29px; +} +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 28px; + font-weight: 500; +} + +/* from https://github.com/twbs/bootstrap/blob/e38f066d8c203c3e032da0ff23cd2d6098ee2dd6/docs/assets/css/src/docs.css#L631-L634 */ +nav[data-toggle='toc'] .nav > .active > ul { + display: block; +} diff --git a/docs/bootstrap-toc.js b/docs/bootstrap-toc.js new file mode 100644 index 0000000..1cdd573 --- /dev/null +++ b/docs/bootstrap-toc.js @@ -0,0 +1,159 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ +(function() { + 'use strict'; + + window.Toc = { + helpers: { + // return all matching elements in the set, or their descendants + findOrFilter: function($el, selector) { + // http://danielnouri.org/notes/2011/03/14/a-jquery-find-that-also-finds-the-root-element/ + // http://stackoverflow.com/a/12731439/358804 + var $descendants = $el.find(selector); + return $el.filter(selector).add($descendants).filter(':not([data-toc-skip])'); + }, + + generateUniqueIdBase: function(el) { + var text = $(el).text(); + var anchor = text.trim().toLowerCase().replace(/[^A-Za-z0-9]+/g, '-'); + return anchor || el.tagName.toLowerCase(); + }, + + generateUniqueId: function(el) { + var anchorBase = this.generateUniqueIdBase(el); + for (var i = 0; ; i++) { + var anchor = anchorBase; + if (i > 0) { + // add suffix + anchor += '-' + i; + } + // check if ID already exists + if (!document.getElementById(anchor)) { + return anchor; + } + } + }, + + generateAnchor: function(el) { + if (el.id) { + return el.id; + } else { + var anchor = this.generateUniqueId(el); + el.id = anchor; + return anchor; + } + }, + + createNavList: function() { + return $(''); + }, + + createChildNavList: function($parent) { + var $childList = this.createNavList(); + $parent.append($childList); + return $childList; + }, + + generateNavEl: function(anchor, text) { + var $a = $(''); + $a.attr('href', '#' + anchor); + $a.text(text); + var $li = $('
  • '); + $li.append($a); + return $li; + }, + + generateNavItem: function(headingEl) { + var anchor = this.generateAnchor(headingEl); + var $heading = $(headingEl); + var text = $heading.data('toc-text') || $heading.text(); + return this.generateNavEl(anchor, text); + }, + + // Find the first heading level (`

    `, then `

    `, etc.) that has more than one element. Defaults to 1 (for `

    `). + getTopLevel: function($scope) { + for (var i = 1; i <= 6; i++) { + var $headings = this.findOrFilter($scope, 'h' + i); + if ($headings.length > 1) { + return i; + } + } + + return 1; + }, + + // returns the elements for the top level, and the next below it + getHeadings: function($scope, topLevel) { + var topSelector = 'h' + topLevel; + + var secondaryLevel = topLevel + 1; + var secondarySelector = 'h' + secondaryLevel; + + return this.findOrFilter($scope, topSelector + ',' + secondarySelector); + }, + + getNavLevel: function(el) { + return parseInt(el.tagName.charAt(1), 10); + }, + + populateNav: function($topContext, topLevel, $headings) { + var $context = $topContext; + var $prevNav; + + var helpers = this; + $headings.each(function(i, el) { + var $newNav = helpers.generateNavItem(el); + var navLevel = helpers.getNavLevel(el); + + // determine the proper $context + if (navLevel === topLevel) { + // use top level + $context = $topContext; + } else if ($prevNav && $context === $topContext) { + // create a new level of the tree and switch to it + $context = helpers.createChildNavList($prevNav); + } // else use the current $context + + $context.append($newNav); + + $prevNav = $newNav; + }); + }, + + parseOps: function(arg) { + var opts; + if (arg.jquery) { + opts = { + $nav: arg + }; + } else { + opts = arg; + } + opts.$scope = opts.$scope || $(document.body); + return opts; + } + }, + + // accepts a jQuery object, or an options object + init: function(opts) { + opts = this.helpers.parseOps(opts); + + // ensure that the data attribute is in place for styling + opts.$nav.attr('data-toggle', 'toc'); + + var $topContext = this.helpers.createChildNavList(opts.$nav); + var topLevel = this.helpers.getTopLevel(opts.$scope); + var $headings = this.helpers.getHeadings(opts.$scope, topLevel); + this.helpers.populateNav($topContext, topLevel, $headings); + } + }; + + $(function() { + $('nav[data-toggle="toc"]').each(function(i, el) { + var $nav = $(el); + Toc.init($nav); + }); + }); +})(); diff --git a/docs/docsearch.css b/docs/docsearch.css new file mode 100644 index 0000000..e5f1fe1 --- /dev/null +++ b/docs/docsearch.css @@ -0,0 +1,148 @@ +/* Docsearch -------------------------------------------------------------- */ +/* + Source: https://github.com/algolia/docsearch/ + License: MIT +*/ + +.algolia-autocomplete { + display: block; + -webkit-box-flex: 1; + -ms-flex: 1; + flex: 1 +} + +.algolia-autocomplete .ds-dropdown-menu { + width: 100%; + min-width: none; + max-width: none; + padding: .75rem 0; + background-color: #fff; + background-clip: padding-box; + border: 1px solid rgba(0, 0, 0, .1); + box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); +} + +@media (min-width:768px) { + .algolia-autocomplete .ds-dropdown-menu { + width: 175% + } +} + +.algolia-autocomplete .ds-dropdown-menu::before { + display: none +} + +.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { + padding: 0; + background-color: rgb(255,255,255); + border: 0; + max-height: 80vh; +} + +.algolia-autocomplete .ds-dropdown-menu .ds-suggestions { + margin-top: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion { + padding: 0; + overflow: visible +} + +.algolia-autocomplete .algolia-docsearch-suggestion--category-header { + padding: .125rem 1rem; + margin-top: 0; + font-size: 1.3em; + font-weight: 500; + color: #00008B; + border-bottom: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--wrapper { + float: none; + padding-top: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { + float: none; + width: auto; + padding: 0; + text-align: left +} + +.algolia-autocomplete .algolia-docsearch-suggestion--content { + float: none; + width: auto; + padding: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--content::before { + display: none +} + +.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { + padding-top: .75rem; + margin-top: .75rem; + border-top: 1px solid rgba(0, 0, 0, .1) +} + +.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { + display: block; + padding: .1rem 1rem; + margin-bottom: 0.1; + font-size: 1.0em; + font-weight: 400 + /* display: none */ +} + +.algolia-autocomplete .algolia-docsearch-suggestion--title { + display: block; + padding: .25rem 1rem; + margin-bottom: 0; + font-size: 0.9em; + font-weight: 400 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--text { + padding: 0 1rem .5rem; + margin-top: -.25rem; + font-size: 0.8em; + font-weight: 400; + line-height: 1.25 +} + +.algolia-autocomplete .algolia-docsearch-footer { + width: 110px; + height: 20px; + z-index: 3; + margin-top: 10.66667px; + float: right; + font-size: 0; + line-height: 0; +} + +.algolia-autocomplete .algolia-docsearch-footer--logo { + background-image: url("data:image/svg+xml;utf8,"); + background-repeat: no-repeat; + background-position: 50%; + background-size: 100%; + overflow: hidden; + text-indent: -9000px; + width: 100%; + height: 100%; + display: block; + transform: translate(-8px); +} + +.algolia-autocomplete .algolia-docsearch-suggestion--highlight { + color: #FF8C00; + background: rgba(232, 189, 54, 0.1) +} + + +.algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { + box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) +} + +.algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { + background-color: rgba(192, 192, 192, .15) +} diff --git a/docs/docsearch.js b/docs/docsearch.js new file mode 100644 index 0000000..b35504c --- /dev/null +++ b/docs/docsearch.js @@ -0,0 +1,85 @@ +$(function() { + + // register a handler to move the focus to the search bar + // upon pressing shift + "/" (i.e. "?") + $(document).on('keydown', function(e) { + if (e.shiftKey && e.keyCode == 191) { + e.preventDefault(); + $("#search-input").focus(); + } + }); + + $(document).ready(function() { + // do keyword highlighting + /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ + var mark = function() { + + var referrer = document.URL ; + var paramKey = "q" ; + + if (referrer.indexOf("?") !== -1) { + var qs = referrer.substr(referrer.indexOf('?') + 1); + var qs_noanchor = qs.split('#')[0]; + var qsa = qs_noanchor.split('&'); + var keyword = ""; + + for (var i = 0; i < qsa.length; i++) { + var currentParam = qsa[i].split('='); + + if (currentParam.length !== 2) { + continue; + } + + if (currentParam[0] == paramKey) { + keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); + } + } + + if (keyword !== "") { + $(".contents").unmark({ + done: function() { + $(".contents").mark(keyword); + } + }); + } + } + }; + + mark(); + }); +}); + +/* Search term highlighting ------------------------------*/ + +function matchedWords(hit) { + var words = []; + + var hierarchy = hit._highlightResult.hierarchy; + // loop to fetch from lvl0, lvl1, etc. + for (var idx in hierarchy) { + words = words.concat(hierarchy[idx].matchedWords); + } + + var content = hit._highlightResult.content; + if (content) { + words = words.concat(content.matchedWords); + } + + // return unique words + var words_uniq = [...new Set(words)]; + return words_uniq; +} + +function updateHitURL(hit) { + + var words = matchedWords(hit); + var url = ""; + + if (hit.anchor) { + url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor; + } else { + url = hit.url + '?q=' + escape(words.join(" ")); + } + + return url; +} diff --git a/docs/index.html b/docs/index.html new file mode 100644 index 0000000..97ac12e --- /dev/null +++ b/docs/index.html @@ -0,0 +1,158 @@ + + + + + + + +A package for RSV Intervention Evaluations • rsvie + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    + +

    rsvie is a simulation package which allows users to evaluate the impact and cost-effectiveness of potential RSV intervention programmes in England and Wales. The user can define intervention program timings, products, risk of outcomes, costs, and QALYs.

    +
    +

    Installation +

    +

    First, install R.

    +

    Then, install the development version of ‘rsvie’ by running the following commands in R.

    +
    # install.package("devtools") only run if devtools isn't installed.
    +library(devtools)
    +github_install("dchodge/rsvie")
    +library(rsvie)
    +
    +
    +

    Quick start and overview of the package +

    +

    The user must define several components in order to simulate the impact of an RSV intervention programme. These are 1. add_economics, the user must define the health outcomes considered, the risk of each health outcome occurring per-infection, and the QALY loss and cost of each outcome. 2. add_programme, the user must define the programme characteristics they wish to evaluate, including the timings (start date and end date), the target age group, the product’s immunological profile, and the uptake rate.

    +

    A detailed vignette explaining defining these characteristics can be found in vignettes/example.Rmd.

    +
    +
    +

    Example vignettes +

    +

    We also include several vignettes showing how to evaluate various programmes. These are found in vignettes/sanity_check_*.

    +
    +
    +

    Contact +

    +

    If you have any questions, please email me at

    +
    +
    +
    + + +
    + + +
    + +
    +

    +

    Site built with pkgdown 2.1.1.

    +
    + +
    +
    + + + + + + + + diff --git a/docs/link.svg b/docs/link.svg new file mode 100644 index 0000000..88ad827 --- /dev/null +++ b/docs/link.svg @@ -0,0 +1,12 @@ + + + + + + diff --git a/docs/pkgdown.css b/docs/pkgdown.css new file mode 100644 index 0000000..80ea5b8 --- /dev/null +++ b/docs/pkgdown.css @@ -0,0 +1,384 @@ +/* Sticky footer */ + +/** + * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/ + * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css + * + * .Site -> body > .container + * .Site-content -> body > .container .row + * .footer -> footer + * + * Key idea seems to be to ensure that .container and __all its parents__ + * have height set to 100% + * + */ + +html, body { + height: 100%; +} + +body { + position: relative; +} + +body > .container { + display: flex; + height: 100%; + flex-direction: column; +} + +body > .container .row { + flex: 1 0 auto; +} + +footer { + margin-top: 45px; + padding: 35px 0 36px; + border-top: 1px solid #e5e5e5; + color: #666; + display: flex; + flex-shrink: 0; +} +footer p { + margin-bottom: 0; +} +footer div { + flex: 1; +} +footer .pkgdown { + text-align: right; +} +footer p { + margin-bottom: 0; +} + +img.icon { + float: right; +} + +/* Ensure in-page images don't run outside their container */ +.contents img { + max-width: 100%; + height: auto; +} + +/* Fix bug in bootstrap (only seen in firefox) */ +summary { + display: list-item; +} + +/* Typographic tweaking ---------------------------------*/ + +.contents .page-header { + margin-top: calc(-60px + 1em); +} + +dd { + margin-left: 3em; +} + +/* Section anchors ---------------------------------*/ + +a.anchor { + display: none; + margin-left: 5px; + width: 20px; + height: 20px; + + background-image: url(./link.svg); + background-repeat: no-repeat; + background-size: 20px 20px; + background-position: center center; +} + +h1:hover .anchor, +h2:hover .anchor, +h3:hover .anchor, +h4:hover .anchor, +h5:hover .anchor, +h6:hover .anchor { + display: inline-block; +} + +/* Fixes for fixed navbar --------------------------*/ + +.contents h1, .contents h2, .contents h3, .contents h4 { + padding-top: 60px; + margin-top: -40px; +} + +/* Navbar submenu --------------------------*/ + +.dropdown-submenu { + position: relative; +} + +.dropdown-submenu>.dropdown-menu { + top: 0; + left: 100%; + margin-top: -6px; + margin-left: -1px; + border-radius: 0 6px 6px 6px; +} + +.dropdown-submenu:hover>.dropdown-menu { + display: block; +} + +.dropdown-submenu>a:after { + display: block; + content: " "; + float: right; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; + border-width: 5px 0 5px 5px; + border-left-color: #cccccc; + margin-top: 5px; + margin-right: -10px; +} + +.dropdown-submenu:hover>a:after { + border-left-color: #ffffff; +} + +.dropdown-submenu.pull-left { + float: none; +} + +.dropdown-submenu.pull-left>.dropdown-menu { + left: -100%; + margin-left: 10px; + border-radius: 6px 0 6px 6px; +} + +/* Sidebar --------------------------*/ + +#pkgdown-sidebar { + margin-top: 30px; + position: -webkit-sticky; + position: sticky; + top: 70px; +} + +#pkgdown-sidebar h2 { + font-size: 1.5em; + margin-top: 1em; +} + +#pkgdown-sidebar h2:first-child { + margin-top: 0; +} + +#pkgdown-sidebar .list-unstyled li { + margin-bottom: 0.5em; +} + +/* bootstrap-toc tweaks ------------------------------------------------------*/ + +/* All levels of nav */ + +nav[data-toggle='toc'] .nav > li > a { + padding: 4px 20px 4px 6px; + font-size: 1.5rem; + font-weight: 400; + color: inherit; +} + +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 5px; + color: inherit; + border-left: 1px solid #878787; +} + +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 5px; + font-size: 1.5rem; + font-weight: 400; + color: inherit; + border-left: 2px solid #878787; +} + +/* Nav: second level (shown on .active) */ + +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} + +nav[data-toggle='toc'] .nav .nav > li > a { + padding-left: 16px; + font-size: 1.35rem; +} + +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 15px; +} + +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 15px; + font-weight: 500; + font-size: 1.35rem; +} + +/* orcid ------------------------------------------------------------------- */ + +.orcid { + font-size: 16px; + color: #A6CE39; + /* margins are required by official ORCID trademark and display guidelines */ + margin-left:4px; + margin-right:4px; + vertical-align: middle; +} + +/* Reference index & topics ----------------------------------------------- */ + +.ref-index th {font-weight: normal;} + +.ref-index td {vertical-align: top; min-width: 100px} +.ref-index .icon {width: 40px;} +.ref-index .alias {width: 40%;} +.ref-index-icons .alias {width: calc(40% - 40px);} +.ref-index .title {width: 60%;} + +.ref-arguments th {text-align: right; padding-right: 10px;} +.ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px} +.ref-arguments .name {width: 20%;} +.ref-arguments .desc {width: 80%;} + +/* Nice scrolling for wide elements --------------------------------------- */ + +table { + display: block; + overflow: auto; +} + +/* Syntax highlighting ---------------------------------------------------- */ + +pre, code, pre code { + background-color: #f8f8f8; + color: #333; +} +pre, pre code { + white-space: pre-wrap; + word-break: break-all; + overflow-wrap: break-word; +} + +pre { + border: 1px solid #eee; +} + +pre .img, pre .r-plt { + margin: 5px 0; +} + +pre .img img, pre .r-plt img { + background-color: #fff; +} + +code a, pre a { + color: #375f84; +} + +a.sourceLine:hover { + text-decoration: none; +} + +.fl {color: #1514b5;} +.fu {color: #000000;} /* function */ +.ch,.st {color: #036a07;} /* string */ +.kw {color: #264D66;} /* keyword */ +.co {color: #888888;} /* comment */ + +.error {font-weight: bolder;} +.warning {font-weight: bolder;} + +/* Clipboard --------------------------*/ + +.hasCopyButton { + position: relative; +} + +.btn-copy-ex { + position: absolute; + right: 0; + top: 0; + visibility: hidden; +} + +.hasCopyButton:hover button.btn-copy-ex { + visibility: visible; +} + +/* headroom.js ------------------------ */ + +.headroom { + will-change: transform; + transition: transform 200ms linear; +} +.headroom--pinned { + transform: translateY(0%); +} +.headroom--unpinned { + transform: translateY(-100%); +} + +/* mark.js ----------------------------*/ + +mark { + background-color: rgba(255, 255, 51, 0.5); + border-bottom: 2px solid rgba(255, 153, 51, 0.3); + padding: 1px; +} + +/* vertical spacing after htmlwidgets */ +.html-widget { + margin-bottom: 10px; +} + +/* fontawesome ------------------------ */ + +.fab { + font-family: "Font Awesome 5 Brands" !important; +} + +/* don't display links in code chunks when printing */ +/* source: https://stackoverflow.com/a/10781533 */ +@media print { + code a:link:after, code a:visited:after { + content: ""; + } +} + +/* Section anchors --------------------------------- + Added in pandoc 2.11: https://github.com/jgm/pandoc-templates/commit/9904bf71 +*/ + +div.csl-bib-body { } +div.csl-entry { + clear: both; +} +.hanging-indent div.csl-entry { + margin-left:2em; + text-indent:-2em; +} +div.csl-left-margin { + min-width:2em; + float:left; +} +div.csl-right-inline { + margin-left:2em; + padding-left:1em; +} +div.csl-indent { + margin-left: 2em; +} diff --git a/docs/pkgdown.js b/docs/pkgdown.js new file mode 100644 index 0000000..6f0eee4 --- /dev/null +++ b/docs/pkgdown.js @@ -0,0 +1,108 @@ +/* http://gregfranko.com/blog/jquery-best-practices/ */ +(function($) { + $(function() { + + $('.navbar-fixed-top').headroom(); + + $('body').css('padding-top', $('.navbar').height() + 10); + $(window).resize(function(){ + $('body').css('padding-top', $('.navbar').height() + 10); + }); + + $('[data-toggle="tooltip"]').tooltip(); + + var cur_path = paths(location.pathname); + var links = $("#navbar ul li a"); + var max_length = -1; + var pos = -1; + for (var i = 0; i < links.length; i++) { + if (links[i].getAttribute("href") === "#") + continue; + // Ignore external links + if (links[i].host !== location.host) + continue; + + var nav_path = paths(links[i].pathname); + + var length = prefix_length(nav_path, cur_path); + if (length > max_length) { + max_length = length; + pos = i; + } + } + + // Add class to parent
  • , and enclosing
  • if in dropdown + if (pos >= 0) { + var menu_anchor = $(links[pos]); + menu_anchor.parent().addClass("active"); + menu_anchor.closest("li.dropdown").addClass("active"); + } + }); + + function paths(pathname) { + var pieces = pathname.split("/"); + pieces.shift(); // always starts with / + + var end = pieces[pieces.length - 1]; + if (end === "index.html" || end === "") + pieces.pop(); + return(pieces); + } + + // Returns -1 if not found + function prefix_length(needle, haystack) { + if (needle.length > haystack.length) + return(-1); + + // Special case for length-0 haystack, since for loop won't run + if (haystack.length === 0) { + return(needle.length === 0 ? 0 : -1); + } + + for (var i = 0; i < haystack.length; i++) { + if (needle[i] != haystack[i]) + return(i); + } + + return(haystack.length); + } + + /* Clipboard --------------------------*/ + + function changeTooltipMessage(element, msg) { + var tooltipOriginalTitle=element.getAttribute('data-original-title'); + element.setAttribute('data-original-title', msg); + $(element).tooltip('show'); + element.setAttribute('data-original-title', tooltipOriginalTitle); + } + + if(ClipboardJS.isSupported()) { + $(document).ready(function() { + var copyButton = ""; + + $("div.sourceCode").addClass("hasCopyButton"); + + // Insert copy buttons: + $(copyButton).prependTo(".hasCopyButton"); + + // Initialize tooltips: + $('.btn-copy-ex').tooltip({container: 'body'}); + + // Initialize clipboard: + var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { + text: function(trigger) { + return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); + } + }); + + clipboardBtnCopies.on('success', function(e) { + changeTooltipMessage(e.trigger, 'Copied!'); + e.clearSelection(); + }); + + clipboardBtnCopies.on('error', function() { + changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); + }); + }); + } +})(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml new file mode 100644 index 0000000..37f6927 --- /dev/null +++ b/docs/pkgdown.yml @@ -0,0 +1,8 @@ +pandoc: '3.5' +pkgdown: 2.1.1 +pkgdown_sha: ~ +articles: + example_mab: example_mab.html + example_mat: example_mat.html + example_oa: example_oa.html +last_built: 2024-12-09T09:50Z diff --git a/docs/reference/RSVProgramme-class.html b/docs/reference/RSVProgramme-class.html new file mode 100644 index 0000000..c885164 --- /dev/null +++ b/docs/reference/RSVProgramme-class.html @@ -0,0 +1,192 @@ + +RSVProgramme Class — RSVProgramme-class • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    A class to represent an RSV (Respiratory Syncytial Virus) Programme.

    +
    + + +
    +

    Slots

    + + +
    econ_name
    +

    A character string representing the economic name.

    + + +
    prog_name
    +

    A character string representing the programme name.

    + + +
    model
    +

    An object of class refClass representing the model.

    + + +
    uk_data
    +

    A list containing UK data.

    + + +
    model_par
    +

    A list of model parameters.

    + + +
    econ_par
    +

    A list of economic parameters.

    + + +
    model_calendar
    +

    A list representing the model calendar.

    + + +
    dose_calendar
    +

    A list representing the dose calendar.

    + + +
    immune_profile
    +

    A list representing the immune profile.

    + + +
    econ_df
    +

    A data.frame containing economic data.

    + + +
    risks_df
    +

    A data.frame containing risk data.

    + + +
    risks_vhr_df
    +

    A data.frame containing very high risk data.

    + + +
    outcomes_vec
    +

    A vector of outcomes.

    + + +
    post
    +

    A data.frame containing posterior data.

    + + +
    seeds
    +

    A vector of seeds.

    + + +
    S
    +

    A numeric value.

    + + +
    raw_inci
    +

    A list of raw incidence data.

    + + +
    wane_func_string
    +

    A character string representing the waning function.

    + + +
    wane_func_string_vhr
    +

    A character string representing the waning function for very high risk.

    + + +
    outcomes
    +

    A list of outcomes.

    + + +
    samples_outcomes
    +

    A list of sample outcomes.

    + + +
    samples_outcomes_VHR
    +

    A list of sample outcomes for very high risk.

    + + +
    efficacies
    +

    A vector of efficacies.

    + + +
    cov_mat
    +

    A numeric matrix representing the covariance matrix.

    + + +
    full_output
    +

    A logical value indicating whether to produce full output.

    + + +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/add_economics-RSVProgramme-method.html b/docs/reference/add_economics-RSVProgramme-method.html new file mode 100644 index 0000000..8163fb9 --- /dev/null +++ b/docs/reference/add_economics-RSVProgramme-method.html @@ -0,0 +1,135 @@ + +Add Economics Data to RSVProgramme Object — add_economics,RSVProgramme-method • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This method adds economic data to an RSVProgramme object.

    +
    + +
    +
    # S4 method for class 'RSVProgramme'
    +add_economics(object, econ_name, econ_raw, risks_raw, risks_vhr_raw)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object of class RSVProgramme.

    + + +
    econ_name
    +

    A character string representing the name of the economic data.

    + + +
    econ_raw
    +

    A data frame containing the raw economic data.

    + + +
    risks_raw
    +

    A data frame containing the raw risks data.

    + + +
    risks_vhr_raw
    +

    A data frame containing the raw very high risk (VHR) data.

    + +
    +
    +

    Value

    +

    The updated RSVProgramme object with the added economic data.

    +
    +
    +

    Details

    +

    This method performs the following steps:

    • Checks if the output directory for the economic data exists, and creates it if it does not.

    • +
    • Assigns the provided economic data and risk data to the corresponding slots in the RSVProgramme object.

    • +
    • Extracts unique outcomes from the economic data and assigns them to the outcomes_vec slot.

    • +
    • Stops execution if no outcomes are detected in the economic data.

    • +
    • Generates samples of outcomes and assigns them to the samples_outcomes and samples_outcomes_VHR slots.

    • +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +  rsv_programme <- new("RSVProgramme")
    +  rsv_programme <- add_economics(rsv_programme, "econ_data", econ_raw_df, risks_raw_df, risks_vhr_raw_df)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/add_economics.html b/docs/reference/add_economics.html new file mode 100644 index 0000000..27f0c31 --- /dev/null +++ b/docs/reference/add_economics.html @@ -0,0 +1,118 @@ + +Add Economics Data to an Object — add_economics • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This generic function is used to add economics data to a specified object.

    +
    + +
    +
    add_economics(object, econ_name, econ_raw, risks_raw, risks_vhr_raw)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    The object to which the economics data will be added.

    + + +
    econ_name
    +

    A character string representing the name of the economics data.

    + + +
    econ_raw
    +

    The raw economics data to be added.

    + + +
    risks_raw
    +

    The raw risks data associated with the economics data.

    + + +
    risks_vhr_raw
    +

    The raw very high risk data associated with the economics data.

    + +
    +
    +

    Value

    +

    The object with the added economics data.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/add_fitted_dist.html b/docs/reference/add_fitted_dist.html new file mode 100644 index 0000000..2c5648a --- /dev/null +++ b/docs/reference/add_fitted_dist.html @@ -0,0 +1,115 @@ + +Add Fitted Distribution to Data Frame — add_fitted_dist • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function fits a specified distribution to the data in a given data frame and adds the fitted distribution as a new column.

    +
    + +
    +
    add_fitted_dist(cost_df, dist)
    +
    + +
    +

    Arguments

    + + +
    cost_df
    +

    A data frame containing the data to which the distribution will be fitted. The data frame should have columns named "mean", "lb_95", and "ub_95".

    + + +
    dist
    +

    A character string specifying the distribution to fit. The distribution should be one of the distributions supported by the q function in R (e.g., "norm" for normal distribution, "tri" for triangular distribution).

    + +
    +
    +

    Value

    +

    A data frame with an additional column named fitt_dist containing the fitted distribution for each row.

    +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +cost_df <- data.frame(mean = c(10, 20), lb_95 = c(5, 15), ub_95 = c(15, 25))
    +add_fitted_dist(cost_df, "norm")
    +} # }
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/add_programme-RSVProgramme-method.html b/docs/reference/add_programme-RSVProgramme-method.html new file mode 100644 index 0000000..e811c74 --- /dev/null +++ b/docs/reference/add_programme-RSVProgramme-method.html @@ -0,0 +1,123 @@ + +Add Programme to RSVProgramme Object — add_programme,RSVProgramme-method • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This method adds a programme to an RSVProgramme object, setting various attributes and creating necessary directories.

    +
    + +
    +
    # S4 method for class 'RSVProgramme'
    +add_programme(object, prog_name, cal, cal_vhr, immune_profile)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object of class RSVProgramme.

    + + +
    prog_name
    +

    A character string representing the name of the programme.

    + + +
    cal
    +

    A calendar object used for the programme.

    + + +
    cal_vhr
    +

    A calendar object for very high-risk (VHR) groups.

    + + +
    immune_profile
    +

    A list containing the immune profile information.

    + +
    +
    +

    Value

    +

    The updated RSVProgramme object with the new programme added.

    +
    +
    +

    Details

    +

    This function sets the programme name, checks and creates necessary directories, initializes dose and sero matrices, calculates daily uptake, converts matrices to transmission calendars, and sets various attributes in the RSVProgramme object.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/add_programme.html b/docs/reference/add_programme.html new file mode 100644 index 0000000..fa2a618 --- /dev/null +++ b/docs/reference/add_programme.html @@ -0,0 +1,118 @@ + +Add Programme — add_programme • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function is a generic method for adding a programme to an object.

    +
    + +
    +
    add_programme(object, prog_name, cal, cal_vhr, immune_profile)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    The object to which the programme will be added.

    + + +
    prog_name
    +

    The name of the programme to be added.

    + + +
    cal
    +

    The calendar associated with the programme.

    + + +
    cal_vhr
    +

    The calendar with very high resolution associated with the programme.

    + + +
    immune_profile
    +

    The immune profile associated with the programme.

    + +
    +
    +

    Value

    +

    The object with the added programme.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/calculate_daily_uptake.html b/docs/reference/calculate_daily_uptake.html new file mode 100644 index 0000000..50b3f48 --- /dev/null +++ b/docs/reference/calculate_daily_uptake.html @@ -0,0 +1,120 @@ + +Calculate Daily Uptake — calculate_daily_uptake • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates the daily uptake for different age groups based on the provided calibration data frame.

    +
    + +
    +
    calculate_daily_uptake(object, cal_df)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing the UK data with age group boundaries.

    + + +
    cal_df
    +

    A data frame containing the start and end dates, and uptake types for each age group.

    + +
    +
    +

    Value

    +

    A matrix with 365 rows (days) and 25 columns (age groups) representing the daily uptake.

    +
    +
    +

    Details

    +

    The function processes each age group, calculates the start and end positions within the year, and fills the uptake matrix accordingly. +Different uptake types such as "linear", "birth_rate", "flu_oa", and "oa_2425" are handled.

    +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +object <- your_object_with_uk_data
    +cal_df <- your_calibration_data_frame
    +daily_uptake_matrix <- calculate_daily_uptake(object, cal_df)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/checkout_incidence.html b/docs/reference/checkout_incidence.html new file mode 100644 index 0000000..82d65a6 --- /dev/null +++ b/docs/reference/checkout_incidence.html @@ -0,0 +1,114 @@ + +function to conver the incidence matrix from a run to a data.frame — checkout_incidence • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function processes the incidence data from an object.

    +
    + +
    +
    checkout_incidence(object, rerun = FALSE)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing the raw incidence data.

    + + +
    rerun
    +

    A logical value indicating whether to rerun the rsvie::run function on the object. Default is TRUE.

    + +
    +
    +

    Value

    +

    none

    +

    A data frame containing the processed incidence data with additional columns for time, age group, social group, and risk group.

    +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +  result <- checkout_incidence(my_object)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/checkout_states.html b/docs/reference/checkout_states.html new file mode 100644 index 0000000..0325c5b --- /dev/null +++ b/docs/reference/checkout_states.html @@ -0,0 +1,106 @@ + +Checkout States — checkout_states • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function processes the states of a given object and returns a data table with detailed information about each state.

    +
    + +
    +
    checkout_states(object)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing the states to be processed.

    + +
    +
    +

    Value

    +

    A data table with columns for time, incidence, age group, risk group, social group, model type, and state name.

    +
    +
    +

    Details

    +

    The function generates a list of state names and categorizes them into risk groups, social groups, and model types. It then runs the state function on the input object and processes the resulting states into a data frame. The data frame is then transformed into a long format and additional columns are added to provide detailed information about each state.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/compare_interventions.html b/docs/reference/compare_interventions.html new file mode 100644 index 0000000..7eed23a --- /dev/null +++ b/docs/reference/compare_interventions.html @@ -0,0 +1,106 @@ + +Compare Interventions — compare_interventions • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function compares the outcomes of a base intervention with multiple other interventions.

    +
    + +
    +
    compare_interventions(obj_base, obj_inter)
    +
    + +
    +

    Arguments

    + + +
    obj_base
    +

    An object containing the outcomes of the base intervention.

    + + +
    obj_inter
    +

    A list of objects, each containing the outcomes of different interventions to be compared with the base intervention.

    + +
    +
    +

    Value

    +

    A data frame summarizing the total cases, cases in very high-risk (VHR) groups, and total cases for each age group and outcome, for both the base and other interventions.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/convert_efficacies.html b/docs/reference/convert_efficacies.html new file mode 100644 index 0000000..4a2a879 --- /dev/null +++ b/docs/reference/convert_efficacies.html @@ -0,0 +1,147 @@ + +Convert Immune Profile to Efficacies — convert_efficacies • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function takes an immune profile and converts it into a list of efficacies for different products.

    +
    + +
    +
    convert_efficacies(immune_profile)
    +
    + +
    +

    Arguments

    + + +
    immune_profile
    +

    A list containing immune profile information. It should have the following structure:

    vhr
    +

    A list with element b representing the efficacy for very high risk (VHR) individuals.

    + +
    mass
    +

    A list with elements b and product representing the efficacy and product type for mass immunization. The product can be "lav", "mab", or "mat".

    + + +
    + +
    +
    +

    Value

    +

    A list with the following elements:

    mab_vhr
    +

    Efficacy for monoclonal antibodies (MAB) in very high risk individuals.

    + +
    mab_mass
    +

    Efficacy for monoclonal antibodies (MAB) in mass immunization.

    + +
    lav_mass
    +

    Efficacy for live attenuated vaccines (LAV) in mass immunization.

    + +
    mat_mass
    +

    Efficacy for maternal antibodies (MAT) in mass immunization.

    + + +
    +
    +

    Details

    +

    The function initializes the efficacy list with zeros. It then checks if the immune profile contains efficacy values for VHR and mass immunization and updates the efficacy list accordingly.

    +
    + +
    +

    Examples

    +
    immune_profile <- list(
    +  vhr = list(b = 0.8),
    +  mass = list(b = 0.6, product = "lav")
    +)
    +convert_efficacies(immune_profile)
    +#> $mab_vhr
    +#> [1] 0.8
    +#> 
    +#> $mab_mass
    +#> [1] 0
    +#> 
    +#> $lav_mass
    +#> [1] 0.6
    +#> 
    +#> $mat_mass
    +#> [1] 0
    +#> 
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/convert_mat_to_trans_cal.html b/docs/reference/convert_mat_to_trans_cal.html new file mode 100644 index 0000000..1db0565 --- /dev/null +++ b/docs/reference/convert_mat_to_trans_cal.html @@ -0,0 +1,139 @@ + +Convert Matrices to Transmission Calendar — convert_mat_to_trans_cal • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function converts dose and sero matrices into a transmission calendar based on the provided immune profile.

    +
    + +
    +
    convert_mat_to_trans_cal(
    +  all_dose,
    +  all_sero,
    +  cal_vhr,
    +  daily_uptake_vhr,
    +  cal,
    +  daily_uptake,
    +  immune_profile
    +)
    +
    + +
    +

    Arguments

    + + +
    all_dose
    +

    A matrix representing all doses.

    + + +
    all_sero
    +

    A matrix representing all sero values.

    + + +
    cal_vhr
    +

    A calendar matrix for very high risk (VHR) individuals.

    + + +
    daily_uptake_vhr
    +

    A matrix representing daily uptake for VHR individuals.

    + + +
    cal
    +

    A calendar matrix for the general population.

    + + +
    daily_uptake
    +

    A matrix representing daily uptake for the general population.

    + + +
    immune_profile
    +

    A list containing immune profiles for VHR and general population.

    + +
    +
    +

    Value

    +

    A list containing updated dose and sero matrices.

    +
    +
    +

    Details

    +

    The function first creates a VHR calendar if the immune profile for VHR is not "none". It then calculates the sero and dose models using the get_sero_dose_cals helper function. The results are stored in the all_sero and all_dose matrices.

    +

    The get_sero_dose_cals function calculates the dose and sero models based on the provided calendar, daily uptake, and immune profile. It considers different sero delays and coverage values.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/convert_to_outcomes.html b/docs/reference/convert_to_outcomes.html new file mode 100644 index 0000000..b2ed788 --- /dev/null +++ b/docs/reference/convert_to_outcomes.html @@ -0,0 +1,134 @@ + +Convert to Outcomes — convert_to_outcomes • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function processes an object to calculate various health outcomes over time.

    +
    + +
    +
    convert_to_outcomes(object, yrsum = 2)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing the necessary data for processing.

    + + +
    yrsum
    +

    An integer specifying the number of years to summarize. Default is 2.

    + +
    +
    +

    Value

    +

    A list containing the following elements:

    +
    outcomes
    +

    A data frame with weekly outcomes by age group.

    + +
    costs
    +

    A data frame with discounted costs by outcome and age group.

    + +
    qaly
    +

    A data frame with discounted quality-adjusted life years (QALYs) by outcome and age group.

    + +
    doses
    +

    A vector containing the number of doses administered.

    + +
    +
    +

    Details

    +

    The function performs the following steps:

    1. Extracts necessary data from the input object.

    2. +
    3. Calculates the proportion of individuals in different states over time.

    4. +
    5. Estimates the incidence of various health outcomes for vaccinated and unvaccinated groups.

    6. +
    7. Computes the protected incidence for different health outcomes.

    8. +
    9. Aggregates the results to provide weekly outcomes, costs, and QALYs by age group.

    10. +
    11. Applies discounting to costs and QALYs.

    12. +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +result <- convert_to_outcomes(my_object, yrsum = 3)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/covert_raw_to_risk.html b/docs/reference/covert_raw_to_risk.html new file mode 100644 index 0000000..cae58a9 --- /dev/null +++ b/docs/reference/covert_raw_to_risk.html @@ -0,0 +1,127 @@ + +Convert Raw Outcomes to Risk — covert_raw_to_risk • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function converts raw outcome data to risk metrics based on population data and model cases sample mean.

    +
    + +
    +
    covert_raw_to_risk(object, outcomes_raw, model_cases_sample_mean)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing UK population data.

    + + +
    outcomes_raw
    +

    A data frame containing raw outcome data.

    + + +
    model_cases_sample_mean
    +

    A data frame containing model cases sample mean.

    + +
    +
    +

    Value

    +

    A data frame with calculated risk metrics for each age group and outcome.

    +
    +
    +

    Details

    +

    The function performs the following steps:

    • Extracts population and age group data from the input object.

    • +
    • Defines helper functions to check the completeness of data and calculate risk per infection.

    • +
    • Checks that each outcome has data for all age groups.

    • +
    • Combines raw outcomes data with model cases data and population data.

    • +
    • Calculates the risk per infection for each outcome and age group.

    • +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +  result <- covert_raw_to_risk(object, outcomes_raw, model_cases_sample_mean)
    +  print(result)
    +} # }
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/get_averted_df.html b/docs/reference/get_averted_df.html new file mode 100644 index 0000000..30baeee --- /dev/null +++ b/docs/reference/get_averted_df.html @@ -0,0 +1,122 @@ + +Calculate Averted Cases Data Frame — get_averted_df • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates the number of averted cases for different interventions compared to a base scenario.

    +
    + +
    +
    get_averted_df(base, interventions)
    +
    + +
    +

    Arguments

    + + +
    base
    +

    A data frame containing the base scenario data with columns s, outcome, age_group, and cases_total.

    + + +
    interventions
    +

    A data frame containing the intervention scenario data with columns s, outcome, age_group, and cases_total.

    + +
    +
    +

    Value

    +

    A data frame with the calculated averted cases and proportions, with recoded age groups and outcomes.

    +
    +
    +

    Details

    +

    The function performs the following steps:

    • Joins the base and intervention data frames on s, outcome, and age_group.

    • +
    • Calculates the total number of cases averted and the proportion of cases averted.

    • +
    • Recodes the age groups and outcomes to more descriptive labels.

    • +
    • Converts the recoded age groups and outcomes to factors with specific levels.

    • +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +base <- data.frame(s = 1:5, outcome = rep("symptomatic", 5), age_group = 1:5, cases_total = c(100, 200, 150, 120, 130))
    +interventions <- data.frame(s = 1:5, outcome = rep("symptomatic", 5), age_group = 1:5, cases_total = c(90, 180, 140, 110, 120))
    +get_averted_df(base, interventions)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/get_coverage.html b/docs/reference/get_coverage.html new file mode 100644 index 0000000..2078564 --- /dev/null +++ b/docs/reference/get_coverage.html @@ -0,0 +1,114 @@ + +Get Coverage — get_coverage • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates the coverage based on the immune profile mass and calibration data.

    +
    + +
    +
    get_coverage(immune_profile_mass, cal)
    +
    + +
    +

    Arguments

    + + +
    immune_profile_mass
    +

    A data frame containing the immune profile mass information.

    + + +
    cal
    +

    A data frame containing the calibration data.

    + +
    +
    +

    Value

    +

    The coverage value. If the product in the immune profile mass is "mat", it returns the mean of the positive coverage values from the calibration data. Otherwise, it returns 0.

    +
    + +
    +

    Examples

    +
    immune_profile_mass <- data.frame(product = "mat")
    +cal <- data.frame(cov = c(0.1, 0.2, 0, -0.1))
    +get_coverage(immune_profile_mass, cal)
    +#> [1] 0.15
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/get_daily_uptake.html b/docs/reference/get_daily_uptake.html new file mode 100644 index 0000000..bfa1ffa --- /dev/null +++ b/docs/reference/get_daily_uptake.html @@ -0,0 +1,119 @@ + +Calculate Daily Uptake from Weekly Data — get_daily_uptake • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates the daily uptake based on weekly uptake data.

    +
    + +
    +
    get_daily_uptake(up_week_raw, start_time)
    +
    + +
    +

    Arguments

    + + +
    up_week_raw
    +

    A numeric vector containing the weekly uptake data.

    + + +
    start_time
    +

    An integer representing the start time in days.

    + +
    +
    +

    Value

    +

    A numeric vector of length 365 representing the daily uptake.

    +
    +
    +

    Details

    +

    The function first processes the weekly data to fill a weekly uptake vector, then calculates the daily uptake by interpolating the weekly data.

    +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +up_week_raw <- c(0.1, 0.2, 0.3, 0.4, 0.5)
    +start_time <- 1
    +daily_uptake <- get_daily_uptake(up_week_raw, start_time)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/get_efficacies_sample.html b/docs/reference/get_efficacies_sample.html new file mode 100644 index 0000000..4b7e571 --- /dev/null +++ b/docs/reference/get_efficacies_sample.html @@ -0,0 +1,119 @@ + +Get Efficacies Sample — get_efficacies_sample • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function retrieves a sample of efficacies from an object based on a provided seed.

    +
    + +
    +
    get_efficacies_sample(object, seed)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing efficacies in a list format.

    + + +
    seed
    +

    An integer representing the seed to select the sample from the efficacies.

    + +
    +
    +

    Value

    +

    A list containing the sampled efficacies for each efficacy type.

    +
    +
    +

    Details

    +

    The function initializes a list with efficacy types set to 0. It then iterates over the names of the efficacy types and checks if the length of the efficacy values for each type is greater than 1. If so, it selects the efficacy value based on the provided seed. Otherwise, it assigns the single efficacy value to the list. The function finally returns the list of sampled efficacies.

    +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +object <- list(efficacies = list(mab_vhr = c(0.1, 0.2), mab_mass = 0.3, lav_mass = c(0.4, 0.5), mat_mass = 0.6))
    +seed <- 1
    +get_efficacies_sample(object, seed)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/index.html b/docs/reference/index.html new file mode 100644 index 0000000..84dc9ca --- /dev/null +++ b/docs/reference/index.html @@ -0,0 +1,204 @@ + +Package index • rsvie + + +
    +
    + + + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +

    All functions

    +

    +
    +

    RSVProgramme-class

    +

    RSVProgramme Class

    +

    add_economics(<RSVProgramme>)

    +

    Add Economics Data to RSVProgramme Object

    +

    add_economics()

    +

    Add Economics Data to an Object

    +

    add_fitted_dist()

    +

    Add Fitted Distribution to Data Frame

    +

    add_programme(<RSVProgramme>)

    +

    Add Programme to RSVProgramme Object

    +

    add_programme()

    +

    Add Programme

    +

    calculate_daily_uptake()

    +

    Calculate Daily Uptake

    +

    checkout_incidence()

    +

    function to conver the incidence matrix from a run to a data.frame

    +

    checkout_states()

    +

    Checkout States

    +

    compare_interventions()

    +

    Compare Interventions

    +

    convert_efficacies()

    +

    Convert Immune Profile to Efficacies

    +

    convert_mat_to_trans_cal()

    +

    Convert Matrices to Transmission Calendar

    +

    convert_to_outcomes()

    +

    Convert to Outcomes

    +

    covert_raw_to_risk()

    +

    Convert Raw Outcomes to Risk

    +

    get_averted_df()

    +

    Calculate Averted Cases Data Frame

    +

    get_coverage()

    +

    Get Coverage

    +

    get_daily_uptake()

    +

    Calculate Daily Uptake from Weekly Data

    +

    get_efficacies_sample()

    +

    Get Efficacies Sample

    +

    make_RunInterventions()

    +

    Initialise the RunInterventions class

    +

    make_rsv_programme()

    +

    A constructor to make an RSVProgramme object

    +

    output_samples()

    +

    Generate and output samples for economic and risk data

    +

    plot_calendar()

    +

    Plot Dosing Calendar

    +

    plot_economics()

    +

    Plot Economics Data

    +

    plot_economics_fit()

    +

    Plot Economic Fit

    +

    plot_outcomes()

    +

    Plot Outcomes

    +

    run(<RSVProgramme>)

    +

    A setMethod for the run function

    +

    run()

    +

    Run Method

    +

    run_state(<RSVProgramme>)

    +

    A setMethod for the run_state function

    +

    run_state()

    +

    Run State Generic Function

    +

    summarise_outcomes()

    +

    Summarise Outcomes

    + + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/make_RunInterventions.html b/docs/reference/make_RunInterventions.html new file mode 100644 index 0000000..2f8462d --- /dev/null +++ b/docs/reference/make_RunInterventions.html @@ -0,0 +1,114 @@ + +Initialise the RunInterventions class — make_RunInterventions • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    Initialise the RunInterventions class

    +
    + +
    +
    make_RunInterventions(RunInterventions, uk_data_sum, run_burn, run_full)
    +
    + +
    +

    Arguments

    + + +
    RunInterventions
    +

    An empty RunInterventions class

    + + +
    uk_data_sum
    +

    an .rda file with all the information needed to fit the UK model

    + + +
    run_burn
    +

    Burn-in for the model (in days)

    + + +
    run_full
    +

    Number of days to run the model for post burn-in

    + +
    +
    +

    Value

    +

    A classRunInterventions which is fully parameterised

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/make_rsv_programme.html b/docs/reference/make_rsv_programme.html new file mode 100644 index 0000000..b5f528c --- /dev/null +++ b/docs/reference/make_rsv_programme.html @@ -0,0 +1,102 @@ + +A constructor to make an RSVProgramme object — make_rsv_programme • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    A constructor to make an RSVProgramme object

    +
    + +
    +
    make_rsv_programme(S = 10)
    +
    + +
    +

    Arguments

    + + +
    S
    +

    an integer taking the number of Monte Carlo samples to run over

    + +
    +
    +

    Value

    +

    A RSVProgramme object

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/output_samples.html b/docs/reference/output_samples.html new file mode 100644 index 0000000..1f5589d --- /dev/null +++ b/docs/reference/output_samples.html @@ -0,0 +1,128 @@ + +Generate and output samples for economic and risk data — output_samples • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function processes raw economic and risk data, fits distributions to the data, +generates samples, and outputs the results to a specified file.

    +
    + +
    +
    output_samples(econ_raw, risks_raw, file.name)
    +
    + +
    +

    Arguments

    + + +
    econ_raw
    +

    A data frame containing raw economic data with columns for age group, outcome, reference QALYs, mean QALYs, lower bound QALYs, and upper bound QALYs.

    + + +
    risks_raw
    +

    A data frame containing raw risk data.

    + + +
    file.name
    +

    A string specifying the name of the output file.

    + +
    +
    +

    Value

    +

    A list containing sampled outcomes for risks, QALYs, and costs.

    +
    +
    +

    Details

    +

    The function performs the following steps:

    • Fits triangular distributions to the risk, QALY, and cost data.

    • +
    • Generates samples for each outcome using the fitted distributions.

    • +
    • Outputs the sampled outcomes to the specified file.

    • +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +econ_raw <- read.csv("economic_data.csv")
    +risks_raw <- read.csv("risk_data.csv")
    +output_samples(econ_raw, risks_raw, "output_samples.csv")
    +} # }
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/plot_calendar.html b/docs/reference/plot_calendar.html new file mode 100644 index 0000000..3366f04 --- /dev/null +++ b/docs/reference/plot_calendar.html @@ -0,0 +1,118 @@ + +Plot Dosing Calendar — plot_calendar • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function generates and saves a plot of the dosing calendar for different age groups.

    +
    + +
    +
    plot_calendar(object)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing the dosing calendar and other relevant data.

    + +
    +
    +

    Value

    +

    None

    +
    +
    +

    Details

    +

    The function performs the following steps:

    • Checks if the directory for saving the plot exists, and creates it if it does not.

    • +
    • Extracts unique age groups from the economic data frame within the object.

    • +
    • Updates the column names of the dose calendar matrices to match the age groups.

    • +
    • Converts the dose calendar matrices into a data frame suitable for plotting.

    • +
    • Generates a ggplot of the dosing calendar, with days of the year on the x-axis, age groups on the y-axis, and the proportion of doses as the fill color.

    • +
    • Saves the plot as a PNG file in the specified directory.

    • +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +plot_calendar(my_object)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/plot_economics.html b/docs/reference/plot_economics.html new file mode 100644 index 0000000..0b2436f --- /dev/null +++ b/docs/reference/plot_economics.html @@ -0,0 +1,106 @@ + +Plot Economics Data — plot_economics • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function generates and saves plots for economic data, risks data, and very high-risk data from the given object.

    +
    + +
    +
    plot_economics(object)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object containing economic data frames (econ_df, risks_df, risks_vhr_df) and an economic name (econ_name).

    + +
    +
    +

    Details

    +

    The function performs the following steps:

    • Checks if the directory for saving plots exists, and creates it if it does not.

    • +
    • Processes the economic data frame (econ_df) to create a combined data frame for QALY loss and Costs.

    • +
    • Generates and saves a plot for the economic data with uncertainty ribbons and lines.

    • +
    • Generates and saves a plot for the risks data with uncertainty ribbons and lines.

    • +
    • Generates and saves a plot for the very high-risk data with lines.

    • +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/plot_economics_fit.html b/docs/reference/plot_economics_fit.html new file mode 100644 index 0000000..6c4846a --- /dev/null +++ b/docs/reference/plot_economics_fit.html @@ -0,0 +1,120 @@ + +Plot Economic Fit — plot_economics_fit • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function generates and saves plots comparing fitted distributions to reference data for risks, QALYs, and costs across different age groups.

    +
    + +
    +
    plot_economics_fit(object)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An S4 object containing economic data and model outcomes.

    + +
    +
    +

    Value

    +

    None. The function saves the generated plots to the specified directory.

    +
    +
    +

    Details

    +

    The function performs the following steps:

    • Checks if the directory for saving plots exists, and creates it if it doesn't.

    • +
    • Extracts unique age groups from the economic data.

    • +
    • Defines a helper function to extract mean and 95% uncertainty intervals for model outcomes.

    • +
    • Extracts fitted model outcomes for risks, QALYs, and costs.

    • +
    • Prepares data frames for risks, QALYs, and costs by merging reference data with fitted model outcomes.

    • +
    • Defines a helper function to convert data frames to long format for plotting.

    • +
    • Converts the prepared data frames to long format.

    • +
    • Generates and saves plots comparing fitted model outcomes to reference data for risks, QALYs, and costs.

    • +
    + +
    +

    Examples

    +
    if (FALSE) { # \dontrun{
    +  plot_economics_fit(my_economic_model)
    +} # }
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/plot_outcomes.html b/docs/reference/plot_outcomes.html new file mode 100644 index 0000000..3a277df --- /dev/null +++ b/docs/reference/plot_outcomes.html @@ -0,0 +1,110 @@ + +Plot Outcomes — plot_outcomes • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function loads the run outputs from a specified file, extracts the outcomes data, and creates a boxplot of costs and QALY (Quality-Adjusted Life Year) outcomes. The plot is saved as a PNG file.

    +
    + +
    +
    plot_outcomes(object)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An S4 object that contains the program name and outcomes data.

    + +
    +
    +

    Value

    +

    A ggplot object representing the boxplot of costs and QALY outcomes.

    +
    +
    +

    Details

    +

    The function performs the following steps:

    • Loads the run outputs from a file located in the "outputs" directory.

    • +
    • Extracts the outcomes data from the loaded object.

    • +
    • Binds the costs and QALY data into a single data frame.

    • +
    • Creates a boxplot of the costs and QALY data using ggplot2.

    • +
    • Saves the plot as a PNG file in the "figs" subdirectory of the "outputs" directory.

    • +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/run-RSVProgramme-method.html b/docs/reference/run-RSVProgramme-method.html new file mode 100644 index 0000000..28a122d --- /dev/null +++ b/docs/reference/run-RSVProgramme-method.html @@ -0,0 +1,111 @@ + +A setMethod for the run function — run,RSVProgramme-method • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    A setMethod for the run function

    +
    + +
    +
    # S4 method for class 'RSVProgramme'
    +run(object, direct = FALSE, filename = NULL, yr_num = 2)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    The object on which the operation is performed.

    + + +
    direct
    +

    A logical value indicating whether to run the operation directly.

    + + +
    filename
    +

    An optional character string specifying the filename.

    + + +
    yr_num
    +

    An integer specifying the number of years, default is 2.#' @return An RSVProgramme object

    + +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/run.html b/docs/reference/run.html new file mode 100644 index 0000000..4544331 --- /dev/null +++ b/docs/reference/run.html @@ -0,0 +1,114 @@ + +Run Method — run • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    Generic function to execute a specific operation.

    +
    + +
    +
    run(object, direct = FALSE, filename = NULL, yr_num = 2)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    The object on which the operation is performed.

    + + +
    direct
    +

    A logical value indicating whether to run the operation directly.

    + + +
    filename
    +

    An optional character string specifying the filename.

    + + +
    yr_num
    +

    An integer specifying the number of years, default is 2.

    + +
    +
    +

    Value

    +

    The result of the operation.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/run_state-RSVProgramme-method.html b/docs/reference/run_state-RSVProgramme-method.html new file mode 100644 index 0000000..d317c40 --- /dev/null +++ b/docs/reference/run_state-RSVProgramme-method.html @@ -0,0 +1,111 @@ + +A setMethod for the run_state function — run_state,RSVProgramme-method • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    A setMethod for the run_state function

    +
    + +
    +
    # S4 method for class 'RSVProgramme'
    +run_state(object, S_i = 1, direct = FALSE)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object on which the state is to be run.

    + + +
    S_i
    +

    An integer representing the state index. Default is 1.

    + + +
    direct
    +

    A logical value indicating whether to run the state directly. Default is FALSE.

    + +
    +
    +

    Value

    +

    a matrix with all the values of the state variables in the dynamic transmission model

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/run_state.html b/docs/reference/run_state.html new file mode 100644 index 0000000..20d563e --- /dev/null +++ b/docs/reference/run_state.html @@ -0,0 +1,110 @@ + +Run State Generic Function — run_state • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This is a generic function for running a state.

    +
    + +
    +
    run_state(object, S_i = 1, direct = FALSE)
    +
    + +
    +

    Arguments

    + + +
    object
    +

    An object on which the state is to be run.

    + + +
    S_i
    +

    An integer representing the state index. Default is 1.

    + + +
    direct
    +

    A logical value indicating whether to run the state directly. Default is FALSE.

    + +
    +
    +

    Value

    +

    The result of the state run, depending on the method implementation.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/summarise_outcomes.html b/docs/reference/summarise_outcomes.html new file mode 100644 index 0000000..f16bc42 --- /dev/null +++ b/docs/reference/summarise_outcomes.html @@ -0,0 +1,104 @@ + +Summarise Outcomes — summarise_outcomes • rsvie + + +
    +
    + + + +
    +
    + + +
    +

    This function takes an object x and summarises the outcomes by grouping +by s, outcome, and age_group, then calculates the total number of cases.

    +
    + +
    +
    summarise_outcomes(x)
    +
    + +
    +

    Arguments

    + + +
    x
    +

    An object containing the outcomes data.

    + +
    +
    +

    Value

    +

    A data frame with the total number of cases grouped by s, outcome, and age_group.

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.1.

    +
    + +
    + + + + + + + + diff --git a/docs/sitemap.xml b/docs/sitemap.xml new file mode 100644 index 0000000..6892064 --- /dev/null +++ b/docs/sitemap.xml @@ -0,0 +1,42 @@ + +/404.html +/LICENSE.html +/articles/example_mab.html +/articles/example_mat.html +/articles/example_oa.html +/articles/index.html +/authors.html +/index.html +/reference/RSVProgramme-class.html +/reference/add_economics-RSVProgramme-method.html +/reference/add_economics.html +/reference/add_fitted_dist.html +/reference/add_programme-RSVProgramme-method.html +/reference/add_programme.html +/reference/calculate_daily_uptake.html +/reference/checkout_incidence.html +/reference/checkout_states.html +/reference/compare_interventions.html +/reference/convert_efficacies.html +/reference/convert_mat_to_trans_cal.html +/reference/convert_to_outcomes.html +/reference/covert_raw_to_risk.html +/reference/get_averted_df.html +/reference/get_coverage.html +/reference/get_daily_uptake.html +/reference/get_efficacies_sample.html +/reference/index.html +/reference/make_RunInterventions.html +/reference/make_rsv_programme.html +/reference/output_samples.html +/reference/plot_calendar.html +/reference/plot_economics.html +/reference/plot_economics_fit.html +/reference/plot_outcomes.html +/reference/run-RSVProgramme-method.html +/reference/run.html +/reference/run_state-RSVProgramme-method.html +/reference/run_state.html +/reference/summarise_outcomes.html + + diff --git a/inst/.DS_Store b/inst/.DS_Store deleted file mode 100644 index 1be6895bb7f80f8e62b90d41c97a85311da12008..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeHKJ5Izf5S@XQh(xm`r7u9SH!!Pkg1rD)f}q$aTYyBF<8T0uz$rKgHSc)_l&~o% z5JG51vftSAvGb(Z9ud*?L%R}Lib#bf}J1>A*ax`);&F*%!x$b8Y{lzKn z{X}l$5j$^XwEu2D+U^&RuCMFuuHV9=YM#$upWa?B4)b(<`wg%C9od?!Hd;8;U?3O> z27-ZL;Kv!jolU7u4WkbRf`MS*lL4L&35}Q?2g7o7perQ+kk9BM&{<0`COKxu!4MXR zS}4#$)k_SuaLgz7%Z`Jgg^POep}z7*@uFpQljA6n@vZ)M-J@0H~t{Ya~(%1;pZp^bcSJ1E65XrnTbSS+PTgD9Gx9)cy&6 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0000000..f51ac30 --- /dev/null +++ b/man/get_averted_df.Rd @@ -0,0 +1,35 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/utils.R +\name{get_averted_df} +\alias{get_averted_df} +\title{Calculate Averted Cases Data Frame} +\usage{ +get_averted_df(base, interventions) +} +\arguments{ +\item{base}{A data frame containing the base scenario data with columns \code{s}, \code{outcome}, \code{age_group}, and \code{cases_total}.} + +\item{interventions}{A data frame containing the intervention scenario data with columns \code{s}, \code{outcome}, \code{age_group}, and \code{cases_total}.} +} +\value{ +A data frame with the calculated averted cases and proportions, with recoded age groups and outcomes. +} +\description{ +This function calculates the number of averted cases for different interventions compared to a base scenario. +} +\details{ +The function performs the following steps: +\itemize{ +\item Joins the base and intervention data frames on \code{s}, \code{outcome}, and \code{age_group}. +\item Calculates the total number of cases averted and the proportion of cases averted. +\item Recodes the age groups and outcomes to more descriptive labels. +\item Converts the recoded age groups and outcomes to factors with specific levels. +} +} +\examples{ +\dontrun{ +base <- data.frame(s = 1:5, outcome = rep("symptomatic", 5), age_group = 1:5, cases_total = c(100, 200, 150, 120, 130)) +interventions <- data.frame(s = 1:5, outcome = rep("symptomatic", 5), age_group = 1:5, cases_total = c(90, 180, 140, 110, 120)) +get_averted_df(base, interventions) +} +} diff --git a/man/summarise_outcomes.Rd b/man/summarise_outcomes.Rd new file mode 100644 index 0000000..1314e53 --- /dev/null +++ b/man/summarise_outcomes.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/utils.R +\name{summarise_outcomes} +\alias{summarise_outcomes} +\title{Summarise Outcomes} +\usage{ +summarise_outcomes(x) +} +\arguments{ +\item{x}{An object containing the outcomes data.} +} +\value{ +A data frame with the total number of cases grouped by \code{s}, \code{outcome}, and \code{age_group}. +} +\description{ +This function takes an object \code{x} and summarises the outcomes by grouping +by \code{s}, \code{outcome}, and \code{age_group}, then calculates the total number of cases. +} diff --git a/src/.DS_Store b/src/.DS_Store deleted file mode 100644 index 132248805c99a9b102666ae5ea4e99eb22455bfd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeHKJ5B>J5S@VttwfWO(pN}NVWOp_$ps(@f+Arf0WI9p+%g5_dEk)la=Tq zgk~iBjpw(!Pg>g}B07CsPDI8c(qIsk%7D;3=sNJ=5m0N5J9${$OlFI2y%{L<7fpQk zBe{}$S;)0)zrV`UwtwBV?R?eEVQ*e8-rr6?Ue9)8mcPbqZh!Ek&nOWR3$&7zhTw8Q}hqFo@Z)7}l)=Q*8l&yhc}n&R&8!$uT(4CttxwNreQpRGHe$FnwJTw+idSExXs_bvfga349TPV*<~h|7+}kX2}}>A<)M MR6=432KK zObc#dS3MD9W|H=Gr!(!_muzQCM5c2$Xc0AtsEWo|si7+{p69k|M%I|om=-jm zgytL3>QDt#fxo5zf4ep6(S(MSQttbm3|rl+G?_ZW2ko-BB#q<#B<*9qdVBHu(*Afl zEsq`iI(9nB@6R-;j??7^=gT#?&cJygjOQWK^M~@tJlA^mw&Yr}Zjyen{W&`1d(V9L zWXR7lzdi69ivlP>v3Cas>cZ;1OV diff --git a/vignettes/.DS_Store b/vignettes/.DS_Store deleted file mode 100644 index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0 - %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteIndexEntry{Evaluating RSV monoclonal antibody programmes} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- @@ -20,7 +20,7 @@ This vignette explains how to use the `rsvie` package to evaluate the impact of # Load the package (or library(rsvie)) devtools::load_all() -# This defines an RSVProgramme class +# This defines an RSVPrograpkmme class RSVempty <- make_rsv_programme(1) # To see what is in these slots @@ -75,7 +75,7 @@ immune_profile <- readRDS(file = system.file(package = "rsvie", "extdata", "effi ``` -## 5. Add intervention programmes +## 4. Add intervention programmes With the economics and risks defined, we can now define an intervention programme. We have several vignettes showing how to evaluate various types of programmes that use different products. Here is a simple example: @@ -86,15 +86,15 @@ cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) cal_mabs_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mabs_s.csv")) -RSV_mab_vhr <- add_programme(RSVempty, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mabs) -RSV_mab_s <- add_programme(RSVempty, prog_name = "mab_s", cal_mabs_s, cal_vhr_s, immune_profile$mabs) +RSV_mab_vhr <- add_programme(RSVempty_ss, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mabs_vhr) +RSV_mab_s <- add_programme(RSVempty_ss, prog_name = "mab_s", cal_mabs_s, cal_vhr_s, immune_profile$mabs) ``` -## 7. Simulate the intervention programme +## 5. Simulate the intervention programme To simulate a programme, we call `rsvie::run` on the class defined above. This will simulate the programme and return a class with the results. @@ -107,12 +107,11 @@ RSV_mab_s <- rsvie::run(RSV_mab_s) ``` -## 8. Extract incidence for further exploration +## 6. Extract incidence for further exploration ```{r post-process, echo=FALSE, results='hide'} # Look at full posterior outcomes -RSV_mab_s@outcomes$outcomes # summari outcomes annually RSV_mab_vhr_sum <- summarise_outcomes(RSV_mab_vhr) diff --git a/vignettes/example_mat.Rmd b/vignettes/example_mat.Rmd index 9a2a094..032bfd8 100644 --- a/vignettes/example_mat.Rmd +++ b/vignettes/example_mat.Rmd @@ -1,10 +1,10 @@ --- -title: "Using the RSV Impact Evaluation `rsvie` Package (A)" -author: "Your Name" +title: "Evaluating RSV maternal vaccination programmes" +author: "David Hodgson" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > - %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteIndexEntry{Evaluating RSV maternal vaccination programmes} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- @@ -86,8 +86,8 @@ cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) cal_mat_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mat_s.csv")) -RSV_mat_vhr <- add_programme(RSVempty, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mat_vhr) -RSV_mat_s <- add_programme(RSVempty, prog_name = "mab_s", cal_lav_65, cal_vhr_s, immune_profile$mat) +RSV_mat_vhr <- add_programme(RSVempty_ss, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mat_vhr) +RSV_mat_s <- add_programme(RSVempty_ss, prog_name = "mat_s", cal_mat_s, cal_vhr_s, immune_profile$mat) ``` @@ -116,7 +116,7 @@ RSV_mat_s@outcomes$outcomes # summari outcomes annually RSV_mat_vhr_sum <- summarise_outcomes(RSV_mat_vhr) -RSV_mat_s_sum <- summarise_outcomes(RSV_mab_t) +RSV_mat_s_sum <- summarise_outcomes(RSV_mat_s) get_averted_df(RSV_mat_vhr_sum, RSV_mat_s_sum) diff --git a/vignettes/example_oa.Rmd b/vignettes/example_oa.Rmd index c8a18b6..fbfdb26 100644 --- a/vignettes/example_oa.Rmd +++ b/vignettes/example_oa.Rmd @@ -1,10 +1,10 @@ --- -title: "Using the RSV Impact Evaluation `rsvie` Package (A)" -author: "Your Name" +title: "Evaluating RSV older adult vaccination programmes" +author: "David Hodgson" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > - %\VignetteIndexEntry{Using the RSV Impact Evaluation `rsvie` Package (A)} + %\VignetteIndexEntry{Evaluating RSV older adult vaccination programmes} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- @@ -81,12 +81,13 @@ With the economics and risks defined, we can now define an intervention programm ```{r calendars, echo=FALSE, results='hide'} # To evaluate a seasonal monoclonal given at birth, we load an Excel spreadsheet such as: -cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_mat_none.csv")) +cal_none <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_none.csv")) cal_vhr_s <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_vhr_s.csv")) -cal_lav_65 <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_lav_65.csv")) +cal_lav_65 <- read.csv(file = system.file(package = "rsvie", "extdata", "calendars", "cal_lav_oa_65.csv")) -RSV_65_vhr <- add_programme(RSVempty, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mat_vhr) -RSV_65_s <- add_programme(RSVempty, prog_name = "mab_s", cal_lav_65, cal_vhr_s, immune_profile$lav) +# Add programmes to the empty class +RSV_65_vhr <- add_programme(RSVempty_ss, prog_name = "pal", cal_none, cal_vhr_s, immune_profile$mabs_vhr) +RSV_65_s <- add_programme(RSVempty_ss, prog_name = "mab_s", cal_lav_65, cal_vhr_s, immune_profile$lav) ``` @@ -98,9 +99,10 @@ To simulate a programme, we call `rsvie::run` on the class defined above. This w ```{r run, echo=FALSE, results='hide'} -# base vase +# Base-base RSV_65_vhr <- rsvie::run(RSV_65_vhr) -# seasonal + +# Seasonal RSV_65_s <- rsvie::run(RSV_65_s) ```
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