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 |
DOI: | 10.32614/CRAN.package.MixMatrix |
Author: | Geoffrey Thompson |
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 [issues need fixing before 2024-09-30] |
Reference manual: | MixMatrix.pdf |
Vignettes: |
Discriminant Analysis matrix-t-estimation Matrix Normal Distributions Mixture Models |
Package source: | MixMatrix_0.2.6.tar.gz |
Windows binaries: | r-devel: 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-oldrel (arm64): MixMatrix_0.2.6.tgz, r-release (x86_64): MixMatrix_0.2.6.tgz, r-oldrel (x86_64): MixMatrix_0.2.6.tgz |
Old sources: | MixMatrix archive |
Reverse imports: | CausalMBSTS |
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