nparMD: Nonparametric Analysis of Multivariate Data in Factorial Designs

Analysis of multivariate data with two-way completely randomized factorial design. The analysis is based on fully nonparametric, rank-based methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda, Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate response is allowed to be ordinal, quantitative, binary or a mixture of the different variable types. The package offers two functions performing the analysis, one for small and the other for large sample sizes. The underlying methodology is largely described in Bathke and Harrar (2016) <doi:10.1007/978-3-319-39065-9_7> and in Munzel and Brunner (2000) <doi:10.1016/S0378-3758(99)00212-8>.

Version:	0.2.1
Depends:	R (≥ 3.1.0)
Imports:	matrixStats, matrixcalc, MASS, gtools, Formula, methods, stats
Published:	2022-03-09
DOI:	10.32614/CRAN.package.nparMD
Author:	Maximilian Kiefel and Arne C. Bathke
Maintainer:	Maximilian Kiefel <physik210 at hotmail.com>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
CRAN checks:	nparMD results

Documentation:

Reference manual:

nparMD.pdf

Downloads:

Package source:	nparMD_0.2.1.tar.gz
Windows binaries:	r-devel: nparMD_0.2.1.zip, r-release: nparMD_0.2.1.zip, r-oldrel: nparMD_0.2.1.zip
macOS binaries:	r-release (arm64): nparMD_0.2.1.tgz, r-oldrel (arm64): nparMD_0.2.1.tgz, r-release (x86_64): nparMD_0.2.1.tgz, r-oldrel (x86_64): nparMD_0.2.1.tgz
Old sources:	nparMD archive

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