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:
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')) |
Bug tracker:https://github.com/astringency/mnormtest/issues
Last updated 7 days agofrom:9633c5ebbc. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 24 2024 |
| R-4.5-linux | OK | Oct 24 2024 |
Exports:covTest.multicovTest.singleindTest.multimeancov.TestmeanTest.multimeanTest.singlemeanTest.two
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multiple Covariance Matrix Hypothesis Testing | covTest.multi |
| Single Covariance Matrix Hypothesis Testing | covTest.single |
| Multivariate Normal Independence Test | indTest.multi |
| Mean and Covariance Matrix Hypothesis Testing (Simultaneously) | meancov.Test |
| Multiple Mean Vectors Hypothesis Testing | meanTest.multi |
| Single Mean Vector Hypothesis Testing | meanTest.single |
| Two Mean Vectors Hypothesis Testing | meanTest.two |
