The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
Version: | 1.9.10 |
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 |
Published: | 2023-12-10 |
DOI: | 10.32614/CRAN.package.PMCMRplus |
Author: | Thorsten Pohlert |
Maintainer: | Thorsten Pohlert <thorsten.pohlert at gmx.de> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
SystemRequirements: | gmp (>= 4.2.3), mpfr (>= 3.0.0) | file README.md |
Materials: | README NEWS |
In views: | Environmetrics |
CRAN checks: | PMCMRplus results |
Reference manual: | PMCMRplus.pdf |
Vignettes: |
PMCMR Quick Reference Guide |
Package source: | PMCMRplus_1.9.10.tar.gz |
Windows binaries: | r-devel: PMCMRplus_1.9.10.zip, r-release: PMCMRplus_1.9.10.zip, r-oldrel: PMCMRplus_1.9.10.zip |
macOS binaries: | r-release (arm64): PMCMRplus_1.9.10.tgz, r-oldrel (arm64): PMCMRplus_1.9.10.tgz, r-release (x86_64): PMCMRplus_1.9.10.tgz, r-oldrel (x86_64): PMCMRplus_1.9.10.tgz |
Old sources: | PMCMRplus archive |
Reverse imports: | easyDes, phenomis, qacBase, signeR, statsExpressions, YAPSA |
Reverse suggests: | eq5d, matrixTests, memes, mlr, mlr3benchmark, parameters, pcutils, sageR |
Please use the canonical form https://CRAN.R-project.org/package=PMCMRplus to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.