pairwiseComparisons: 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).

Version: 3.1.3
Depends: R (≥ 3.6.0)
Imports: BayesFactor, dplyr, ipmisc (≥ 5.0.2), parameters (≥ 0.11.0), PMCMRplus, purrr, rlang, stats, WRS2
Suggests: knitr, rmarkdown, spelling, testthat
Published: 2021-02-03
Author: Indrajeet Patil ORCID iD [cre, aut, cph] (@patilindrajeets)
Maintainer: Indrajeet Patil < at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Language: en-US
Citation: pairwiseComparisons citation info
Materials: README NEWS
CRAN checks: pairwiseComparisons results


Reference manual: pairwiseComparisons.pdf
Package source: pairwiseComparisons_3.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: pairwiseComparisons_3.1.1.tgz, r-oldrel: pairwiseComparisons_3.1.3.tgz
Old sources: pairwiseComparisons archive

Reverse dependencies:

Reverse imports: ggstatsplot


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