R: Classification with Matrix Variate Normal and t Distributions

# Classification with Matrix Variate Normal and t Distributions

## Documentation for package ‘MixMatrix’ version 0.2.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ARgenerate | Generate a unit AR(1) covariance matrix
CSgenerate | Generate a compound symmetric correlation matrix
dmatrixinvt | Distribution functions for matrix variate inverted t distributions
dmatrixnorm | Matrix variate Normal distribution functions
dmatrixt | Distribution functions for the matrix variate t distribution.
init_matrixmixture | Initializing settings for Matrix Mixture Models
matrixlda | LDA for matrix variate distributions
matrixmixture | Fit a matrix variate mixture model
matrixqda | Quadratic Discriminant Analysis for Matrix Variate Observations
MLmatrixnorm | Maximum likelihood estimation for matrix normal distributions
MLmatrixt | Maximum likelihood estimation for matrix variate t distributions
predict.matrixlda | Classify Matrix Variate Observations by Linear Discrimination
predict.matrixqda | Classify Matrix Variate Observations by Quadratic Discrimination
rmatrixinvt | Distribution functions for matrix variate inverted t distributions
rmatrixnorm | Matrix variate Normal distribution functions
rmatrixt | Distribution functions for the matrix variate t distribution.