Confidence Intervals for Two Sample Comparisons
graphics, stats, coin, boot, mratios, binMto, MASS, mcprofile
Calculation of the parametric, nonparametric confidence intervals
for the difference or ratio of location parameters, nonparametric confidence interval
for the Behrens-Fisher problem and for the difference, ratio and odds-ratio of binomial
proportions for comparison of independent samples. Common wrapper functions to split
data sets and apply confidence intervals or tests to these subsets.
A by-statement allows calculation of CI separately for the levels of further factors.
CI are not adjusted for multiplicity.

Frank Schaarschmidt [aut, cre],
Daniel Gerhard [aut]
graphics, stats, coin, boot, MASS, mcprofile

Calculate and plot unadjusted confidence intervals for two sample comparisons
R (>= 2.2.0), stats, exactRankTests, Hmisc, boot, mratios
Calculation of the parametric, nonparametric confidence intervals
for the difference or ratio of location parameters and for the difference, ratio
and odds-ratio of binomial proportion for comparison of independent samples.
CI are NOT adjusted for multiplicity. A by statement allows calculation of CI
separately for the levels of one further factor.

person(given = "Indrajeet",
family = "Patil",
role = c("cre", "aut", "ctb"),
email = "patilindrajeet.science@gmail.com",
comment = c(ORCID = "0000-0003-1995-6531"))
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).
broomExtra (>= 0.0.5), crayon (>= 1.3.4), dplyr (>= 0.8.3),
forcats, groupedstats, jmv, magrittr (>= 1.5), purrrlyr, rlang
(>= 0.4.0), stats, stringr, tibble (>= 2.1.3), tidyr (>=
0.8.3), utils, WRS2 (>= 1.0-0)
Indrajeet Patil [cre, aut, ctb]
(<https://orcid.org/0000-0003-1995-6531>)