Skip to content

Latest commit

 

History

History
106 lines (69 loc) · 6.03 KB

README.md

File metadata and controls

106 lines (69 loc) · 6.03 KB
Raw

Health Economics R Packages

A guide to some R packages that we know about for health economic analysis.

Click here to suggest packages.

Overview

The packages are generally in one of two groups. Either they are specifically designed to perform (some part of) a cost-effectiveness analysis or they are more generic and can be applied to this context.

  1. Cost-effectiveness packages

  2. Generic packages

    1. Decision trees
    2. Multistate/micro-simulation models
    3. Optimal decision process
    4. Visualisation
    5. Data
    6. Miscellaneous

Below we list the most useful R packages that we know of for each area.

Cost-effectiveness analysis

  • BCEA - Bayesian Cost Effectiveness Analysis
  • DALY - The DALY Calculator - Graphical User Interface for Probabilistic DALY Calculation in R
  • DALYcalculator - Calculates disability-adjusted life years for an individual and populations.
  • heemod - Models for Health Economic Evaluation
  • hesim - Heath economic simulation modeling and decision analysis
  • iSQoL2 - Integration of Survival with QoL or Cost
  • radiant - Business Analytics using R and Shiny
  • QoLR - Analysis of Health-Related Quality of Life in Oncology
  • PROscorer - Functions to Score Commonly-Used Patient-Reported Outcome (PRO) Measures and Other Psychometric Instruments
  • ArvoRe - Cost-effectiveness Analysis (CEA) implementation for R oriented to compute problems that involve simple decision tree models and Markov models. It offer a graphic user interface (GUI) developed in Tcl/Tk. This graphical interface simplifies the decision tree creation task and its manipulation, such as, nodes addition, probability values definition, node kind configuration, etc.
  • dampack - R package with useful functions to develop and analyze decision-analytic models
  • ICEinfer - Incremental Cost-Effectiveness Inference using Two Unbiased Samples
  • fluEvidenceSynthesis - econstructing influenza dynamics from surveillance data using evidence synthesis techniques.

Decision trees

These packages help you build and navigate tree-like objects.

  • data.tree - General Purpose Hierarchical Data Structure
  • igraph - Network Analysis and Visualization
  • jsonlite - A Robust, High Performance JSON Parser and Generator for R
  • rjson - JSON for R
  • jsonvalidate - Validate 'JSON'

Multistate/microsimulation models

The related area of survival analysis has its own CRAN Task View: Survival Analysis. This also has a multistate models section and a Simulation section with useful packages. These packages help you simulate populations at individual or group levels.

Some package not included:

  • ggm - Functions for graphical Markov models
  • rakeR - Easy Spatial Microsimulation (Raking) in R
  • adaptivetau - Implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007)

Optimal decision processes

Packages for optimal control, dynamic programming or maximum utility theory would be useful. There is already the specific CRAN Task View: Optimization and Mathematical Programming.

Of note, and not included in the Task View is the package

Visualisation

These packages make it easier to program with the R language.

  • diagram - Functions for visualising simple graphs (networks), plotting flow diagrams
  • DiagrammeR - Create Graph Diagrams and Flowcharts Using R

Data

These packages contain data sets to use as training data or toy examples.

  • rgho - Access WHO Global Health Observatory Data from R
  • AER Lots of data sets and some other code from the book Christian Kleiber and Achim Zeileis (2008), Applied Econometrics with R

Miscellaneous

  • demography - Forecasting Mortality, Fertility, Migration and Population Data
  • ROCR - Visualizing the Performance of Scoring Classifiers
  • pROC - Display and Analyze ROC Curves

You can learn more about packages in R with the CRAN task views.