Package: npmv 2.4.1

npmv: Nonparametric Comparison of Multivariate Samples

Performs analysis of one-way multivariate data, for small samples using Nonparametric techniques. Using approximations for ANOVA Type, Wilks' Lambda, Lawley Hotelling, and Bartlett Nanda Pillai Test statics, the package compares the multivariate distributions for a single explanatory variable. The comparison is also performed using a permutation test for each of the four test statistics. The package also performs an all-subsets algorithm regarding variables and regarding factor levels.

Authors:Woodrow Burchett [aut], Amanda Ellis [aut, cre]

npmv_2.4.1.tar.gz
npmv_2.4.1.zip(r-4.7)npmv_2.4.1.zip(r-4.6)npmv_2.4.1.zip(r-4.5)
npmv_2.4.1.tgz(r-4.6-any)npmv_2.4.1.tgz(r-4.5-any)
npmv_2.4.1.tar.gz(r-4.6-any)npmv_2.4.1.tar.gz(r-4.5-any)
npmv_2.4.1.tgz(r-4.5-emscripten)
npmv.pdf |npmv.html
npmv/json (API)

# Install 'npmv' in R:
install.packages('npmv', repos = c('https://amandaellis.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • sberry - Strawberry Fungal Data

On CRAN:

Conda:

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

2.12 score 22 scripts 386 downloads 6 mentions 2 exports 1 dependencies

Last updated from:0e43a2b6ac. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK140
linux-release-x86_64OK99
macos-release-arm64OK143
macos-oldrel-arm64OK154
windows-develOK117
windows-releaseOK63
windows-oldrelOK80
wasm-releaseOK91

Exports:nonpartestssnonpartest

Dependencies:Formula