Multiple Pairwise Comparison Tests

Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).


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install.packages("pairwiseComparisons")

3.1.2 by Indrajeet Patil, 12 days ago


https://indrajeetpatil.github.io/pairwiseComparisons/, https://github.com/IndrajeetPatil/pairwiseComparisons


Report a bug at https://github.com/IndrajeetPatil/pairwiseComparisons/issues


Browse source code at https://github.com/cran/pairwiseComparisons


Authors: Indrajeet Patil [cre, aut, cph] , @patilindrajeets)


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports BayesFactor, dplyr, insight, ipmisc, parameters, PMCMRplus, purrr, rlang, stats, WRS2

Suggests knitr, rmarkdown, spelling, testthat


Imported by ggstatsplot.


See at CRAN