Package: MixMatrix 0.2.8

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.

Authors:Geoffrey Thompson [aut, cre], B. D. Ripley [ctb, cph], W. N. Venables [ctb, cph]

MixMatrix_0.2.8.tar.gz
MixMatrix_0.2.8.zip(r-4.7)MixMatrix_0.2.8.zip(r-4.6)MixMatrix_0.2.8.zip(r-4.5)
MixMatrix_0.2.8.tgz(r-4.6-x86_64)MixMatrix_0.2.8.tgz(r-4.6-arm64)MixMatrix_0.2.8.tgz(r-4.5-x86_64)MixMatrix_0.2.8.tgz(r-4.5-arm64)
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MixMatrix/json (API)

# Install 'MixMatrix' in R:
install.packages('MixMatrix', repos = c('https://gzt.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gzt/mixmatrix/issues

Pkgdown/docs site:https://gzt.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

6.22 score 3 stars 3 packages 31 scripts 465 downloads 14 exports 4 dependencies

Last updated from:2295b55c06. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK156
linux-devel-x86_64OK178
source / vignettesOK259
linux-release-arm64OK191
linux-release-x86_64OK180
macos-release-arm64OK91
macos-release-x86_64OK268
macos-oldrel-arm64OK124
macos-oldrel-x86_64OK261
windows-develOK140
windows-releaseOK125
windows-oldrelOK125
wasm-releaseOK157

Exports:ARgenerateCSgeneratedmatrixinvtdmatrixnormdmatrixtinit_matrixmixturematrixldamatrixmixturematrixqdaMLmatrixnormMLmatrixtrmatrixinvtrmatrixnormrmatrixt

Dependencies:CholWishartglueRcppRcppArmadillo

Discriminant Analysis for Matrix Variate Distributions
Details of the modeling choices | Classification Rule | Matrix Variate Normal Populations | Estimated Minimum ECM Rule for Two Matrix Variate Normal Populations | How to classify based on this: | If there are equal covariances: | Generalizing to multiple classes | Structure of the objects | Session info | All the code for easy copying
Rendered fromdiscriminant-analysis.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2018-02-23

Matrix Variate Normal Distributions with MixMatrix
Matrix Variate Distributions | Matrix Variate Normal Distributions | Parameter estimation for matrix variate normal distributions | Session Information | All the code for easy copying | References
Rendered frommatrixnormal.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2018-02-05

ML estimation of the Matrix Variate t Distribution
Estimation of the Matrix Variate t Distribution | E-step | CM Steps | Applications and results | With $\nu$ known | With $\nu$ unknown | Use for classification | Session info | All the code for easy copying | References
Rendered frommatrix-t-estimation.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2019-06-22

Matrix Variate Mixture Models with the t distribution
Matrix Variate Mixture Modeling with the $t$ Distribution | Usage | matrixmixture function | Initialization function | Session Information | All the code for easy copying | References
Rendered frommixturemodel.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2019-06-29