CRAN/E | nparMD

nparMD

Nonparametric Analysis of Multivariate Data in Factorial Designs

Installation

About

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.

Key Metrics

Version 0.2.1
R ≥ 3.1.0
Published 2022-03-09 790 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks nparMD results

Downloads

Yesterday 9 0%
Last 7 days 44 -49%
Last 30 days 217 +5%
Last 90 days 603 -26%
Last 365 days 2.664 -9%

Maintainer

Maintainer

Maximilian Kiefel

physik210@hotmail.com

Authors

Maximilian Kiefel
Arne C. Bathke

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nparMD archive

Depends

R ≥ 3.1.0

Imports

matrixStats
matrixcalc
MASS
gtools
Formula
methods
stats