IndrajeetPatil/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

MaintainerIndrajeet Patil <patilindrajeet.science@gmail.com>
LicenseGPL-3 | file LICENSE
Version2.0.1
URL https://indrajeetpatil.github.io/pairwiseComparisons/ https://github.com/IndrajeetPatil/pairwiseComparisons
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("IndrajeetPatil/pairwiseComparisons")
IndrajeetPatil/pairwiseComparisons documentation built on Sept. 16, 2020, 9:57 p.m.