Classification with Matrix Variate Normal and t Distributions

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Documentation for package ‘MixMatrix’ version 0.2.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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
MixMatrix	Classification with Matrix Variate Normal and t Distributions
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.