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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 |
DOI: | 10.32614/CRAN.package.MatrixLDA |
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 |
Reference manual: | MatrixLDA.pdf |
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 |
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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.