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 
[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-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 dependencies:
| Reverse imports: | CausalMBSTS |
Linking:
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