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 test and
Dwass-Steel-Crichtlow-Fligner test), robust (Yuen’s trimmed means
test).

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 test
Dwass-Steel-Crichtlow-Fligner test), robust (Yuen’s trimmed means
test), and Bayes Factor (Student's t-test).
broomExtra, dplyr, forcats, ipmisc (>= 2.0.0), jmv, purrr,
rlang, stats, tidyBF (>= 0.2.0), tidyr, utils, WRS2

broomExtra, dplyr, forcats, ipmisc, jmv, purrr, rlang, stats,
tidyBF, tidyr, utils, WRS2

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 test Dunn test),
robust (Yuen’s trimmed means test), and Bayes Factor (Student's
t-test).
broomExtra, dplyr, dunn.test, forcats, ipmisc, Matrix,
PMCMRplus, purrr, rlang, stats, tidyBF, tidyr, utils, WRS2

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).
broomExtra, dplyr, dunn.test, forcats, ipmisc (>= 3.0.1),
PMCMRplus, purrr, rlang, stats, tidyBF (>= 0.2.1), tidyr,
utils, WRS2 (>= 1.1-0)

broomExtra, dplyr, dunn.test, forcats, ipmisc, PMCMRplus,
purrr, rlang, stats, tidyBF (>= 0.2.1), tidyr, utils, WRS2