Package: MNormTest 1.1.1

Xifeng Zhang

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.tar.gz(r-4.5-noble)MNormTest_1.1.1.tar.gz(r-4.4-noble)
MNormTest_1.1.1.tgz(r-4.4-emscripten)MNormTest_1.1.1.tgz(r-4.3-emscripten)
MNormTest.pdf |MNormTest.html
MNormTest/json (API)
NEWS

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

Peer review:

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

1.70 score 3 scripts 7 downloads 7 exports 2 dependencies

Last updated 7 days agofrom:9633c5ebbc. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-linuxOKOct 24 2024

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

Dependencies:gmpRmpfr