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
Browse package contents
Package details |
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| Maintainer | Indrajeet Patil <patilindrajeet.science@gmail.com> |
| License | GPL-3 | file LICENSE |
| Version | 3.2.0 |
| URL | https://indrajeetpatil.github.io/pairwiseComparisons/ https://github.com/IndrajeetPatil/pairwiseComparisons |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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