pairwiseComparisons (0.1.3)

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Multiple Pairwise Comparison Tests.

Multiple pairwise comparison tests 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 test and Dwass-Steel-Crichtlow-Fligner test), robust (Yuens trimmed means test).

Maintainer: Indrajeet Patil
Author(s): Indrajeet Patil [cre, aut, ctb] (<>)

License: GPL-3 | file LICENSE

Uses: broomExtra, dplyr, forcats, jmv, purrr, rlang, stringr, tibble, tidyr, WRS2, ggplot2, testthat, knitr, rmarkdown, spelling

Released about 1 month ago.

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