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).

Getting started

Package details

AuthorIndrajeet Patil [cre, aut, cph] (<>, @patilindrajeets)
MaintainerIndrajeet Patil <>
LicenseGPL-3 | file LICENSE
Package repositoryView on CRAN
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pairwiseComparisons documentation built on June 2, 2021, 1:06 a.m.