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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