MixMatrix: Classification with Matrix Variate Normal and t Distributions

Provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) <doi:10.1080/10618600.2019.1696208>. Performs clustering with matrix variate normal and t mixture models.

Version: 0.2.6
Depends: R (≥ 3.5.0)
Imports: stats, CholWishart, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat, covr, ggplot2, dplyr, magrittr, spelling
Published: 2021-11-16
Author: Geoffrey Thompson ORCID iD [aut, cre], B. D. Ripley author of original lda and qda functions [ctb, cph], W. N. Venables author of original lda and qda functions [ctb, cph]
Maintainer: Geoffrey Thompson <gzthompson at gmail.com>
BugReports: https://github.com/gzt/MixMatrix/issues
License: GPL-3
URL: https://github.com/gzt/MixMatrix/, https://gzt.github.io/MixMatrix/
NeedsCompilation: yes
Language: en-us
Materials: README NEWS
CRAN checks: MixMatrix results

Documentation:

Reference manual: MixMatrix.pdf
Vignettes: Discriminant Analysis
matrix-t-estimation
Matrix Normal Distributions
Mixture Models

Downloads:

Package source: MixMatrix_0.2.6.tar.gz
Windows binaries: r-devel: MixMatrix_0.2.6.zip, r-devel-UCRT: MixMatrix_0.2.6.zip, r-release: MixMatrix_0.2.6.zip, r-oldrel: MixMatrix_0.2.6.zip
macOS binaries: r-release (arm64): MixMatrix_0.2.6.tgz, r-release (x86_64): MixMatrix_0.2.6.tgz, r-oldrel: MixMatrix_0.2.6.tgz
Old sources: MixMatrix archive

Reverse dependencies:

Reverse imports: CausalMBSTS

Linking:

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