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).


Reference manual

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3.1.6 by Indrajeet Patil, 2 months ago,

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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