Package: MatrixLDA 0.2

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>.

Authors:Aaron J. Molstad [aut, cre]

MatrixLDA_0.2.tar.gz
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MatrixLDA.pdf |MatrixLDA.html✨
MatrixLDA/json (API)

# Install 'MatrixLDA' in R:
install.packages('MatrixLDA', repos = c('https://ajmolstad.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ajmolstad/matrixlda/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

4 exports 1 stars 0.92 score 4 dependencies 4 scripts 153 downloads

Last updated 8 months agofrom:0586d9950f. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-win-x86_64OKSep 10 2024
R-4.5-linux-x86_64OKSep 10 2024
R-4.4-win-x86_64OKSep 10 2024
R-4.4-mac-x86_64OKSep 10 2024
R-4.4-mac-aarch64OKSep 10 2024
R-4.3-win-x86_64OKSep 10 2024
R-4.3-mac-x86_64OKSep 10 2024
R-4.3-mac-aarch64OKSep 10 2024

Exports:MatLDAMatLDA_GridMN_MLEPredictMN

Dependencies:glassoplyrRcppRcppArmadillo