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MatrixLDA (version 0.2)
Penalized Matrix-Normal Linear Discriminant Analysis
Description
Fits the penalized matrix-normal model to be used for linear discriminant analysis with matrix-valued predictors. For a description of the method, see Molstad and Rothman (2018)
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Version
Version
0.2
0.1
Install
install.packages('MatrixLDA')
Monthly Downloads
24
Version
0.2
License
GPL-2
Maintainer
Aaron J. Molstad
Last Published
August 6th, 2018
Functions in MatrixLDA (0.2)
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MatLDA_Grid
Fits the \(J\)-class penalized matrix-normal model for a two-dimensional grid of tuning parameters. Used for tuning parameter selection.
PredictMN
Classify matrix-valued data based on a matrix-normal linear discriminant; an object of class "MN".
MN_MLE
Matrix-normal maximum likelihood estimator
MatLDA
Fits the \(J\)-class penalized matrix-normal model for a single pair of tuning parameters.