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MatrixLDA: Penalized Matrix-Normal Linear Discriminant Analysis

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) <doi:10.1080/10618600.2018.1476249>.

Version: 0.2
Imports: Rcpp (≥ 0.12.1), plyr, glasso
LinkingTo: Rcpp, RcppArmadillo
Published: 2018-08-06
Author: Aaron J. Molstad [aut, cre]
Maintainer: Aaron J. Molstad <amolstad at fredhutch.org>
License: GPL-2
URL: ajmolstad@github.io
NeedsCompilation: yes
CRAN checks: MatrixLDA results

Documentation:

Reference manual: MatrixLDA.pdf

Downloads:

Package source: MatrixLDA_0.2.tar.gz
Windows binaries: r-devel: MatrixLDA_0.2.zip, r-release: MatrixLDA_0.2.zip, r-oldrel: MatrixLDA_0.2.zip
macOS binaries: r-release (arm64): MatrixLDA_0.2.tgz, r-oldrel (arm64): MatrixLDA_0.2.tgz, r-release (x86_64): MatrixLDA_0.2.tgz, r-oldrel (x86_64): MatrixLDA_0.2.tgz
Old sources: MatrixLDA archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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