Package: nparMD 0.2.3

Maximilian Kiefel

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> and in Kiefel and Bathke (2022) <doi:10.1515/stat-2022-0112>.

Authors:Maximilian Kiefel [cre, aut], Arne C. Bathke [ctb]

nparMD_0.2.3.tar.gz
nparMD_0.2.3.zip(r-4.7-any)nparMD_0.2.3.zip(r-4.6-any)
nparMD_0.2.3.tar.gz(r-4.7-any)nparMD_0.2.3.tar.gz(r-4.6-any)
nparMD_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nparMD/json (API)

# Install 'nparMD' in R:
install.packages('nparMD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 269 downloads 2 exports 5 dependencies

Last updated from:13fef55625. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK211
linux-releaseOK111
windows-develOK52
windows-releaseOK55
wasm-releaseOK113

Exports:nparmlnparms

Dependencies:FormulagtoolsMASSmatrixcalcmatrixStats