Nonparametric Comparison of Multivariate Samples
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 4includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 75%
Downloads
Dependencies
Installing npmv adds 46 packages (26 with compiled code, 42 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.
Code & Tests
Datasets
People & History
Previously maintained by Amanda Ellis (2.1 to 2.4.1) and Woodrow Burchett (1.0 to 2.0).
Pick two releases to compare their code metrics.
- 2.5.0Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.4.12025-01-07 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 2.4.02017-01-09 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 2.3.02015-08-30 · diff ↗
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2012-07-29
- Total releases
- 8 / 14 yrs
- License
- GPL-2 OSI
- Bundled data
- 0.5 KB / 1 file
- Download size
- 14 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("npmv")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v076.i04.
Cite the R Observatory
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