Package

r-pmcmrplus

Description

Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended. For
one-way layout experiments the one-way ANOVA can be performed as an
omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test,
Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for
normally distributed residuals and equal within variance are available.
Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test,
Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-
Dunnett Test) for normally distributed residuals and heterogeneous
variances are provided. Van der Waerden's normal scores test for
omnibus, all-pairs and many-to-one tests is provided for non-normally
distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS
and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test,
Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well
as many-to-one (Nemenyi test, Dunn test, U-test) are given for the
analysis of variance by ranks. Non-parametric trend tests (Jonckheere
test, Cuzick test, Johnson-Mehrotra test, Spearman test) are included.
In addition, a Friedman-test for one-way ANOVA with repeated measures on
ranks (CRBD) and Skillings-Mack test for unbalanced CRBD is provided
with consequent all-pairs tests (Nemenyi test, Siegel test, Miller test,
Conover test, Exact test) and many-to-one tests (Nemenyi test, Demsar
test, Exact test). A trend can be tested with Pages's test. Durbin's
test for a two-way balanced incomplete block design (BIBD) is given in
this package as well as Gore's test for CRBD with multiple observations
per cell is given. Outlier tests, Mandel's k- and h statistic as well as
functions for Type I error and Power analysis as well as generic
summary, print and plot methods are provided.

Note