Package: PMCMRplus
Type: Package
Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
        Extended
Version: 1.9.12
Date: 2024-09-07
Authors@R: person(given = "Thorsten", family = "Pohlert",
                 email = "thorsten.pohlert@gmx.de",
                 comment = c(ORCID = "0000-0003-3855-3025"),
                 role = c("aut", "cre"))
Description: 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.
Depends: R (>= 3.5.0)
Imports: mvtnorm (>= 1.0), multcompView, gmp, Rmpfr, SuppDists,
        kSamples (>= 1.2.7), BWStest (>= 0.2.1), MASS, stats
Suggests: xtable, graphics, knitr, rmarkdown, car, e1071, multcomp,
        pwr, NSM3
SystemRequirements: gmp (>= 4.2.3), mpfr (>= 3.0.0) | file README.md
SystemRequirementsNote: see >> README.md
SysDataCompression: gzip
VignetteBuilder: knitr, rmarkdown
Classification/MSC-2010: 62J15, 62J10, 62G10, 62F03, 62G30
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
License: GPL (>= 3)
Packaged: 2026-06-23 14:26:07 UTC; root
Author: Thorsten Pohlert [aut, cre]
        (<https://orcid.org/0000-0003-3855-3025>)
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>
Config/pak/sysreqs: libgmp3-dev libmpfr-dev
Repository: https://cran.r-universe.dev
Date/Publication: 2024-09-09 02:56:26 UTC
RemoteUrl: https://github.com/cran/PMCMRplus
RemoteRef: HEAD
RemoteSha: da70f470480430c61696af1333f030f976d5a904