MNormTest: Multivariate Normal Hypothesis Testing
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".
| Version: |
1.1.1 |
| Depends: |
R (≥ 4.0.0), Rmpfr (≥ 0.9-5) |
| Suggests: |
rmarkdown, knitr, yaml, testthat (≥ 3.0.0), devtools, roxygen2, pkgbuild, covr, usethis, DT |
| Published: |
2024-10-23 |
| DOI: |
10.32614/CRAN.package.MNormTest |
| Author: |
Xifeng Zhang 
[aut, cre] |
| Maintainer: |
Xifeng Zhang <cnxifeng9819 at 163.com> |
| BugReports: |
https://github.com/Astringency/MNormTest/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/Astringency/MNormTest,
https://astringency.github.io/MNormTest/,
https://CRAN.R-project.org/package=MNormTest |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
MNormTest results |
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