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 + fileLICENSE |
| 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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