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nparMD (version 0.2.3)

Nonparametric Analysis of Multivariate Data in Factorial Designs

Description

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) and in Munzel and Brunner (2000) and in Kiefel and Bathke (2022) .

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Install

install.packages('nparMD')

Monthly Downloads

231

Version

0.2.3

License

GPL-2 | GPL-3

Maintainer

Maximilian Kiefel

Last Published

October 27th, 2025

Functions in nparMD (0.2.3)

pseudostudy1

pseudostudy dataset 1
nparms

Nonparametric Test For Multivariate Data With Two-Way Layout Factorial Design - Small Samples
nparml

Nonparametric Test For Multivariate Data With Two-Way Layout Factorial Design - Large Samples
pseudostudy2

pseudostudy dataset 2