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).
|Maintainer||Indrajeet Patil <email@example.com>|
|License||GPL-3 | file LICENSE|
|Package repository||View on GitHub|
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