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: 0.2.8 Depends: R (≥ 3.5.0) Imports: stats, CholWishart, Rcpp, glue LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat, covr, ggplot2, dplyr, magrittr, spelling Published: 2024-09-30 DOI: 10.32614/CRAN.package.MixMatrix Author: Geoffrey Thompson [aut, cre], B. D. Ripley [ctb, cph] (author of original lda and qda functions), W. N. Venables [ctb, cph] (author of original lda and qda functions) 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=MixMatrix to link to this page.
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