Package: mvnTest 1.1-0

Natalya Pya

mvnTest: Goodness of Fit Tests for Multivariate Normality

Routines for assessing multivariate normality. Implements three Wald's type chi-squared tests; non-parametric Anderson-Darling and Cramer-von Mises tests; Doornik-Hansen test, Royston test and Henze-Zirkler test.

Authors:Natalya Pya [aut, cre], Vassilly Voinov [aut], Rashid Makarov [aut], Yevgeniy Voinov [aut]

mvnTest_1.1-0.tar.gz
mvnTest_1.1-0.tar.gz(r-4.5-noble)mvnTest_1.1-0.tar.gz(r-4.4-noble)
mvnTest_1.1-0.tgz(r-4.4-emscripten)mvnTest_1.1-0.tgz(r-4.3-emscripten)
mvnTest.pdf |mvnTest.html
mvnTest/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 18 scripts 536 downloads 6 exports 2 dependencies

Last updated 9 years agofrom:ecdec3a25d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linuxOKDec 14 2024

Exports:AD.testCM.testDH.testHZ.testR.testS2.test

Dependencies:MASSmvtnorm