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
This package is considered a duplicate. The official version of this package is found at:https://gzt.r-universe.dev/MixMatrix
Package: MixMatrix 0.2.8
Geoffrey Thompson
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:
MixMatrix_0.2.8.tar.gz
MixMatrix_0.2.8.tar.gz(r-4.7-arm64)MixMatrix_0.2.8.tar.gz(r-4.7-x86_64)MixMatrix_0.2.8.tar.gz(r-4.6-arm64)MixMatrix_0.2.8.tar.gz(r-4.6-x86_64)
MixMatrix_0.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MixMatrix/json (API)
| # Install 'MixMatrix' in R: |
| install.packages('MixMatrix', repos = c('https://cran.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:
Last updated from:65280b6201. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 162 | ||
| linux-devel-x86_64 | OK | 157 | ||
| source / vignettes | OK | 217 | ||
| linux-release-arm64 | OK | 164 | ||
| linux-release-x86_64 | OK | 192 | ||
| wasm-release | OK | 402 |
Exports:ARgenerateCSgeneratedmatrixinvtdmatrixnormdmatrixtinit_matrixmixturematrixldamatrixmixturematrixqdaMLmatrixnormMLmatrixtrmatrixinvtrmatrixnormrmatrixt
Dependencies:CholWishartglueRcppRcppArmadillo
Discriminant Analysis for Matrix Variate Distributions
Last update: 2024-10-01
Started: 2019-07-28
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
Last update: 2024-10-01
Started: 2019-07-28
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
Last update: 2024-10-01
Started: 2019-07-28
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
Last update: 2024-10-01
Started: 2019-07-28
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate a unit AR(1) covariance matrix | ARgenerate |
| Generate a compound symmetric correlation matrix | CSgenerate |
| Initializing settings for Matrix Mixture Models | init_matrixmixture |
| LDA for matrix variate distributions | matrixlda |
| Fit a matrix variate mixture model | matrixmixture |
| Quadratic Discriminant Analysis for Matrix Variate Observations | matrixqda |
| Maximum likelihood estimation for matrix normal distributions | MLmatrixnorm |
| Maximum likelihood estimation for matrix variate t distributions | MLmatrixt |
| Classify Matrix Variate Observations by Linear Discrimination | predict.matrixlda |
| Classify Matrix Variate Observations by Quadratic Discrimination | predict.matrixqda |
| Distribution functions for matrix variate inverted t distributions | dmatrixinvt rmatrixinvt |
| Matrix variate Normal distribution functions | dmatrixnorm rmatrixnorm |
| Distribution functions for the matrix variate t distribution. | dmatrixt rmatrixt |
