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nparMD  

Nonparametric Analysis of Multivariate Data in Factorial Designs
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]
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 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.1.0 (2018-06-14 20:33), 0.2.1 (2022-03-09 11:40)
Other packages that cited nparMD R package
View nparMD citation profile
Other R packages that nparMD depends, 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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