From 424266fa9ec53ca536c5e7a0577194695e3cd049 Mon Sep 17 00:00:00 2001 From: masurp Date: Fri, 20 Jan 2023 16:30:08 +0100 Subject: [PATCH] Small updates due to CRAN release. --- NEWS.md | 2 +- README.Rmd | 8 ++++---- README.md | 15 ++++++++------- docs/news/index.html | 6 +++--- 4 files changed, 16 insertions(+), 15 deletions(-) diff --git a/NEWS.md b/NEWS.md index c6d4c18..ba43adf 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,7 +1,7 @@ # specr 1.0.0 -CRAN release: [soon] +CRAN release: 2022-01-20 ## Breaking changes diff --git a/README.Rmd b/README.Rmd index 46f70b4..2380bcf 100644 --- a/README.Rmd +++ b/README.Rmd @@ -33,7 +33,7 @@ knitr::opts_chunk$set( ### News -- 20 January 2022: specr version 1.0.0 is now available via github. This is a major update with several new features and functions. Note: it introduces a new framework for conduction specification curve analyses compared to earlier versions (see [version history](https://masurp.github.io/specr/news/index.html) for more details). +- 20 January 2022: specr version 1.0.0 is now available via [CRAN](https://cran.r-project.org/package=specr). This is a major update with several new features and functions. Note: it introduces a new framework for conduction specification curve analyses compared to earlier versions (see [version history](https://masurp.github.io/specr/news/index.html) for more details). - 4 December 2020: specr development version 0.2.2 is available via github. Mostly minor updates and bug fixes. @@ -53,19 +53,19 @@ We do see a lot of value in investigating how analytical choices affect a statis Install specr from CRAN: ``` r -install.packages("specr") # version 0.2.1 +install.packages("specr") ``` Or install the most recent development version from [GitHub](https://github.com/) with: ``` r # install.packages("devtools") -devtools::install_github("masurp/specr") # version 1.0.0 +devtools::install_github("masurp/specr") ``` ### Usage -Using `specr` is comparatively simple. The two main function are `setup()`, in which analytic choices are specified as arguments, and `specr()`, which fits the models across all specifications. The latter creates a class called "specr.object", which can be summarized and plotted with generic function such as `summary` or `plot`. +Using specr is comparatively simple. The two main function are `setup()`, in which analytic choices are specified as arguments, and `specr()`, which fits the models across all specifications. The latter creates a class called "specr.object", which can be summarized and plotted with generic function such as `summary` or `plot`. ```{r, message=F, warning = F, fig.height=10, fig.width=10} # Load package ---- diff --git a/README.md b/README.md index 06793c2..bac35d0 100644 --- a/README.md +++ b/README.md @@ -23,10 +23,11 @@ stable](https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg)](http ### News -- 20 January 2022: specr version 1.0.0 is now available via github. - This is a major update with several new features and functions. - Note: it introduces a new framework for conduction specification - curve analyses compared to earlier versions (see [version +- 20 January 2022: specr version 1.0.0 is now available via + [CRAN](https://cran.r-project.org/package=specr). This is a major + update with several new features and functions. Note: it introduces + a new framework for conduction specification curve analyses compared + to earlier versions (see [version history](https://masurp.github.io/specr/news/index.html) for more details). @@ -63,7 +64,7 @@ and not a better way to estimate a correlation or effect. Install specr from CRAN: ``` r -install.packages("specr") # version 0.2.1 +install.packages("specr") ``` Or install the most recent development version from @@ -71,12 +72,12 @@ Or install the most recent development version from ``` r # install.packages("devtools") -devtools::install_github("masurp/specr") # version 1.0.0 +devtools::install_github("masurp/specr") ``` ### Usage -Using `specr` is comparatively simple. The two main function are +Using specr is comparatively simple. The two main function are `setup()`, in which analytic choices are specified as arguments, and `specr()`, which fits the models across all specifications. The latter creates a class called “specr.object”, which can be summarized and diff --git a/docs/news/index.html b/docs/news/index.html index 9d6d0dd..f78ec58 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -82,8 +82,8 @@

Changelog

-

specr 1.0.0

-

CRAN release: [soon]

+

specr 1.0.02023-01-20

+

CRAN release: 2022-01-20

Breaking changes

  • This new version introduces a completely new analytic framework which breaks with earlier versions of specr. See this vignette for a comprehensive tutorial on how to use this new framework.

    • @@ -92,7 +92,7 @@

    Breaking changes#23 and #26).
  • Excludes some non-meaningful specifications automatically (e.g., when control and independent or dependent variable are the same).
  • Allows to specify all combinations of control variables or to “simplify” and only include none, each individually and all together (github issue #11).
    • -
  • Resulting specification can be filtered using standard tidyverse functions such as e.g., filter(). This way, one can make sure a priori that only reasonable specifications are actually included.
    • +
  • Resulting specification can be filtered using standard tidyverse functions such as e.g., filter(). This way, one can make sure a priori that only reasonable specifications are actually included.
  • Produces an object of class specr.setup, which can be investigated using e.g., summary() or plot().