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nparMD
View on CRAN: Click
here
Download and install nparMD package within the R console
Install from CRAN:
install.packages("nparMD")
Install from Github:
library("remotes")
install_github("cran/nparMD") Install by package version:
library("remotes")
install_version("nparMD", "0.2.3") Attach the package and use:
library("nparMD")
Maintained by
Maximilian Kiefel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-14
Latest Update: 2022-03-09
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) .
How to cite:
Maximilian Kiefel (2018). nparMD: Nonparametric Analysis of Multivariate Data in Factorial Designs. R package version 0.2.3, https://cran.r-project.org/web/packages/nparMD. Accessed 26 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for nparMD
Functions, R codes and Examples using
the nparMD R package
Some associated functions: nparml . nparms . pseudostudy1 . pseudostudy2 .
Some associated R codes: nparml.R . nparms.R . pseudostudy1.R . pseudostudy2.R . Full nparMD package functions and examples
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