Multiple pairwise comparison tests 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: |
0.1.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
broomExtra (≥ 0.0.6), dplyr (≥ 0.8.3), forcats (≥ 0.4.0), jmv (≥ 1.0.8), purrr (≥ 0.3.3), rlang (≥ 0.4.2), stats, stringr (≥ 1.4.0), tibble (≥ 2.1.3), tidyr (≥ 1.0.0), utils, WRS2 (≥ 1.0-0) |
| Suggests: |
ggplot2, knitr, rmarkdown, spelling, testthat |
| Published: |
2019-12-19 |
| Author: |
Indrajeet Patil 
[cre, aut, ctb] |
| Maintainer: |
Indrajeet Patil <patilindrajeet.science at gmail.com> |
| BugReports: |
https://github.com/IndrajeetPatil/pairwiseComparisons/issues |
| License: |
GPL-3 | file LICENSE |
| URL: |
https://indrajeetpatil.github.io/pairwiseComparisons/,
https://github.com/IndrajeetPatil/pairwiseComparisons |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
pairwiseComparisons citation info |
| Materials: |
README NEWS |
| CRAN checks: |
pairwiseComparisons results |