Package: MNormTest 1.1.1

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".

Authors:Xifeng Zhang [aut, cre]

MNormTest_1.1.1.tar.gz
MNormTest_1.1.1.zip(r-4.7-any)MNormTest_1.1.1.zip(r-4.6-any)MNormTest_1.1.1.zip(r-4.5-any)
MNormTest_1.1.1.tgz(r-4.6-any)MNormTest_1.1.1.tgz(r-4.5-any)
MNormTest_1.1.1.tar.gz(r-4.7-any)MNormTest_1.1.1.tar.gz(r-4.6-any)
MNormTest_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MNormTest/json (API)

# Install 'MNormTest' in R:
install.packages('MNormTest', repos = c('https://astringency.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/astringency/mnormtest/issues

Pkgdown/docs site:https://astringency.github.io

On CRAN:

Conda:

2.70 score 3 scripts 326 downloads 7 exports 2 dependencies

Last updated from:7e41ea4b96. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK171
source / vignettesOK176
linux-releaseOK212
macos-releaseOK184
macos-oldrelOK169
windows-develOK103
windows-releaseOK187
windows-oldrelOK98
wasm-releaseOK148

Exports:covTest.multicovTest.singleindTest.multimeancov.TestmeanTest.multimeanTest.singlemeanTest.two

Dependencies:gmpRmpfr