From ffed43a34ab09a2e1be9fa5c989eb696ffdbfa22 Mon Sep 17 00:00:00 2001 From: "Robert J. Calin-Jageman" Date: Tue, 12 Mar 2024 09:03:10 -0500 Subject: [PATCH] more cran check updates --- .Rbuildignore | 2 -- DESCRIPTION | 6 +++--- R/estimate_mdiff_2x2_between.R | 3 +-- R/estimate_mdiff_2x2_mixed.R | 3 +-- R/estimate_mdiff_ind_contrast.R | 3 +-- R/estimate_mdiff_one.R | 3 +-- R/estimate_mdiff_paired.R | 3 +-- R/estimate_mdiff_two.R | 3 +-- R/estimate_pdiff_ind_contrast.R | 3 +-- R/estimate_pdiff_one.R | 3 +-- R/estimate_pdiff_paired.R | 3 +-- R/estimate_pdiff_two.R | 3 +-- R/estimate_rdiff_two.R | 3 +-- docs/pkgdown.yml | 2 +- 14 files changed, 15 insertions(+), 28 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 4ecb584..2ab7c35 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,7 +1,5 @@ ^.*\.Rproj$ ^\.Rproj\.user$ -^build/js -^build/R* ^.*\.jmo ^.*\.pdf ^data-raw$ diff --git a/DESCRIPTION b/DESCRIPTION index 2b539b9..24563ae 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -4,14 +4,14 @@ Title: Estimation Statistics with Confidence Intervals Version: 1.0.2 Author: Robert J Calin-Jageman Maintainer: Robert J Calin-Jageman -Description: An r package and jamovi module for the estimation approach +Description: An r package and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions - are based on statpsych or metafor. This package is still under active + are based on 'statpsych' or 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. If you need a stable and production-ready approach for confidence intervals, use - statpsych. Please Post issues, bugs, and feature requests + 'statpsych'. Please Post issues, bugs, and feature requests to . License: GPL-3 Encoding: UTF-8 diff --git a/R/estimate_mdiff_2x2_between.R b/R/estimate_mdiff_2x2_between.R index ebc9273..21856ea 100644 --- a/R/estimate_mdiff_2x2_between.R +++ b/R/estimate_mdiff_2x2_between.R @@ -1,8 +1,7 @@ #' Estimates for a 2x2 between-subjects design with a continuous outcome #' variable #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_mdiff_2x2_between` is suitable for a 2x2 between-subjects design #' with a continuous outcome variable. It estimates each main effect, the #' simple effects for the first factor, and the interaction. It can express diff --git a/R/estimate_mdiff_2x2_mixed.R b/R/estimate_mdiff_2x2_mixed.R index 7a8af40..0d3ceca 100644 --- a/R/estimate_mdiff_2x2_mixed.R +++ b/R/estimate_mdiff_2x2_mixed.R @@ -1,8 +1,7 @@ #' Estimates for a 2x2 mixed factorial design with a continuous outcome #' variable #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_mdiff_2x2_mixed` is suitable for a 2x2 mixed-factorial design #' with a continuous outcome variable. It estimates each main effect, the #' simple effects for the repeated-measures factor, and the interaction. diff --git a/R/estimate_mdiff_ind_contrast.R b/R/estimate_mdiff_ind_contrast.R index 5766108..0d5f412 100644 --- a/R/estimate_mdiff_ind_contrast.R +++ b/R/estimate_mdiff_ind_contrast.R @@ -1,8 +1,7 @@ #' Estimates for a multi-group design with a continuous outcome #' variable #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_mdiff_ind_contrast` is suitable for a multi-group design #' (between subjects) with a continuous outcome variable. It accepts #' a user-defined set of contrast weights that allows estimation of any diff --git a/R/estimate_mdiff_one.R b/R/estimate_mdiff_one.R index df2f63c..9282039 100644 --- a/R/estimate_mdiff_one.R +++ b/R/estimate_mdiff_one.R @@ -1,8 +1,7 @@ #' Estimates for a single-group design with a continuous outcome #' variable compared to a reference or population value #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_mdiff_one` is suitable for a single-group design #' with a continuous outcome variable that is compared to a reference #' or population value. It can express estimates as mean differences, diff --git a/R/estimate_mdiff_paired.R b/R/estimate_mdiff_paired.R index a5aa0d2..744ea6c 100644 --- a/R/estimate_mdiff_paired.R +++ b/R/estimate_mdiff_paired.R @@ -2,8 +2,7 @@ #' variable #' #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_mdiff_paired` is suitable for a simple paired design #' with a continuous outcome variable. It provides estimates and CIs for the #' population mean difference between the repeated measures, the standardized diff --git a/R/estimate_mdiff_two.R b/R/estimate_mdiff_two.R index 504ea52..d9ec195 100644 --- a/R/estimate_mdiff_two.R +++ b/R/estimate_mdiff_two.R @@ -1,8 +1,7 @@ #' Estimates for a two-group study with a continuous outcome variable #' #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_mdiff_two` is suitable for a simple two-group design #' with a continuous outcome variable. It provides estimates and CIs for the #' population mean difference between the repeated measures, the standardized diff --git a/R/estimate_pdiff_ind_contrast.R b/R/estimate_pdiff_ind_contrast.R index 6af8e93..d5c7783 100644 --- a/R/estimate_pdiff_ind_contrast.R +++ b/R/estimate_pdiff_ind_contrast.R @@ -1,8 +1,7 @@ #' Estimates for a multi-group study with a categorical outcome #' variable #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_pdiff_ind_contrast` is suitable for a multi-group design #' (between subjects) with a categorical outcome variable. It accepts #' a user-defined set of contrast weights that allows estimation of any diff --git a/R/estimate_pdiff_one.R b/R/estimate_pdiff_one.R index aa9b189..afff41c 100644 --- a/R/estimate_pdiff_one.R +++ b/R/estimate_pdiff_one.R @@ -1,8 +1,7 @@ #' Estimates for a single-group design with a categorical outcome #' variable compared to a reference or population value. #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_pdiff_one` is suitable for a single-group design #' (between subjects) with a categorical outcome variable. It calculates #' the effect sizes with respect to a reference or population proportion diff --git a/R/estimate_pdiff_paired.R b/R/estimate_pdiff_paired.R index 680951f..7bf2fe9 100644 --- a/R/estimate_pdiff_paired.R +++ b/R/estimate_pdiff_paired.R @@ -1,8 +1,7 @@ #' Estimates for a repeated-measures study with two measures of a categorical #' variable #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_pdiff_paired` is suitable for a simple paired design #' with a categorical outcome variable. It provides estimates and CIs for the #' population proportion difference between the repeated measures. You can diff --git a/R/estimate_pdiff_two.R b/R/estimate_pdiff_two.R index c956dd0..6280bf1 100644 --- a/R/estimate_pdiff_two.R +++ b/R/estimate_pdiff_two.R @@ -1,8 +1,7 @@ #' Estimates for a two-group study with a categorical outcome variable #' #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_pdiff_two` is suitable for a simple two-group design #' with a categorical outcome variable. It provides estimates and CIs for the #' difference in proportions between the two groups, the odds ratio, and phi. diff --git a/R/estimate_rdiff_two.R b/R/estimate_rdiff_two.R index 2cbadf0..65e7587 100644 --- a/R/estimate_rdiff_two.R +++ b/R/estimate_rdiff_two.R @@ -2,8 +2,7 @@ #' two continuous outcome variables #' #' -#' @description -#' \loadmathjax +#' @description \loadmathjax #' `estimate_rdiff_two` is suitable for a simple two-group design #' with two continuous outcome variables where you want to estimate the #' difference in the strength of the relationship between the two groups. diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index b3483fb..49b5840 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.1 pkgdown: 2.0.7 pkgdown_sha: ~ articles: {} -last_built: 2024-03-11T15:48Z +last_built: 2024-03-12T14:02Z urls: reference: https://rcalinjageman.github.io/esci/reference article: https://rcalinjageman.github.io/esci/articles