Classification with Matrix Variate Normal and t Distributions R package MixMatrix version 0.2.8 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. Software Depends: R (>= 3.5.0) Imports: stats, CholWishart, Rcpp, glue LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat, covr, ggplot2, dplyr, magrittr, spelling Geoffrey Thompson <gzthompson@gmail.com> Comprehensive R Archive Network (CRAN) Geoffrey Thompson [aut, cre] (ORCID: <https://orcid.org/0000-0003-2436-8822>), B. D. Ripley [ctb, cph] (author of original lda and qda functions), W. N. Venables [ctb, cph] (author of original lda and qda functions) GPL-3 2024-09-30 application/tgz https://CRAN.R-project.org/package=MixMatrix doi:10.32614/CRAN.package.MixMatrix en-us