The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
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

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:

Please use the canonical form https://CRAN.R-project.org/package=MatrixLDA to link to this page.

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.