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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MNormTest to link to this page.
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