Package: MVT 0.3-8

MVT: Estimation and Testing for the Multivariate t-Distribution

Routines to perform estimation and inference under the multivariate t-distribution <doi:10.1007/s10182-022-00468-2>. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation.

Authors:Felipe Osorio

MVT_0.3-8.tar.gz
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MVT.pdf |MVT.html
MVT/json (API)

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

Peer review:

Datasets:

On CRAN:

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

10 exports 0.00 score 1 dependencies 32 scripts 320 downloads

Last updated 2 years agofrom:303434e36a. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-win-x86_64NOTEAug 25 2024
R-4.5-linux-x86_64NOTEAug 25 2024
R-4.4-win-x86_64OKAug 25 2024
R-4.4-mac-x86_64OKAug 25 2024
R-4.4-mac-aarch64OKAug 25 2024
R-4.3-win-x86_64OKAug 25 2024
R-4.3-mac-x86_64OKAug 25 2024
R-4.3-mac-aarch64OKAug 25 2024

Exports:envelope.studentequicorrelation.testhomogeneity.testkurtosis.studentMVT.controlrmtStudentStudent.familystudentFitWH.student

Dependencies:fastmatrix