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 test and Dwass-Steel-Crichtlow-Fligner test), robust (Yuen’s trimmed means test).

Version: 0.2.5
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 0.8.3), forcats (≥ 0.4.0), ipmisc (≥ 1.0.0), jmv (≥ 1.0.8), purrr (≥ 0.3.3), rlang (≥ 0.4.2), stats, tibble (≥ 2.1.3), tidyr (≥ 1.0.0), utils, WRS2 (≥ 1.0-0)
Suggests: ggplot2, knitr, rmarkdown, spelling, testthat
Published: 2020-02-11
Author: Indrajeet Patil ORCID iD [cre, aut, ctb]
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
Vignettes: covrpage: Tests and Coverage
Package source: pairwiseComparisons_0.2.5.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: pairwiseComparisons_0.2.5.tgz, r-oldrel: pairwiseComparisons_0.2.5.tgz
Old sources: pairwiseComparisons archive

Reverse dependencies:

Reverse imports: ggstatsplot


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