Multivariate Normal Hypothesis Testing
Overview
Hypothesis testing of the parameters of multivariate normal distributions, including the testing of a single mean vector, two mean vectors, multiple mean vectors, a single covariance matrix, multiple covariance matrices, a mean and a covariance matrix simultaneously, and the testing of independence of multivariate normal random vectors. Huixuan, Gao (2005, ISBN:9787301078587), "Applied Multivariate Statistical Analysis".
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
12 development-tooling and community-health practices detected across 7 families in the upstream repository
Checks run against github.com/astringency/mnormtest on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2024-10-23 · The repository has a site deploy workflow
pkgdown site last built 2024-10-23
Show all practicesHide 3 practices
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.1Latest
- 1.1.02024-10-22
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-22
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 20 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MNormTest")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.