MNormTest: Multivariate Normal Hypothesis Testing (original) (raw)

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 ORCID iD [aut, cre]
Maintainer: Xifeng Zhang <cnxifeng9819 at 163.com>
BugReports: https://github.com/Astringency/MNormTest/issues
License: MIT + file
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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