Package: MVTests 2.2.4

MVTests: Multivariate Hypothesis Tests

Multivariate hypothesis tests and the confidence intervals. It can be used to test the hypothesizes about mean vector or vectors (one-sample, two independent samples, paired samples), covariance matrix (one or more matrices), and the correlation matrix. Moreover, it can be used for robust Hotelling T^2 test at one sample case in high dimensional data. For this package, we have benefited from the studies Rencher (2003), Nel and Merwe (1986) <doi:10.1080/03610928608829342>, Tatlidil (1996), Tsagris (2014), Villasenor Alva and Estrada (2009) <doi:10.1080/03610920802474465>.

Authors:Hasan BULUT [aut, cre],

MVTests_2.2.4.tar.gz
MVTests_2.2.4.zip(r-4.5)MVTests_2.2.4.zip(r-4.4)MVTests_2.2.4.zip(r-4.3)
MVTests_2.2.4.tgz(r-4.4-any)MVTests_2.2.4.tgz(r-4.3-any)
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MVTests.pdf |MVTests.html
MVTests/json (API)

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

Peer review:

Bug tracker:https://github.com/hsnbulut/mvtests/issues

Datasets:

On CRAN:

3.23 score 34 scripts 746 downloads 14 exports 6 dependencies

Last updated 23 days agofrom:43fed2e447. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winOKOct 15 2024
R-4.5-linuxOKOct 15 2024
R-4.4-winOKOct 15 2024
R-4.4-macOKOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:BcovBoxMBsperMhgMpairedOneSampleHT2RHT2Rob_CovTestRobCatRobPer_CovTestRperT2simRHT2TR2TwoSamplesHT2

Dependencies:DEoptimRlatticemvtnormpcaPProbustbaserrcov