Package: MatrixLDA 0.2

Aaron J. Molstad

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
MatrixLDA_0.2.tar.gz(r-4.5-noble)MatrixLDA_0.2.tar.gz(r-4.4-noble)
MatrixLDA_0.2.tgz(r-4.4-emscripten)MatrixLDA_0.2.tgz(r-4.3-emscripten)
MatrixLDA.pdf |MatrixLDA.html✨
MatrixLDA/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 4 scripts 129 downloads 4 exports 4 dependencies

Last updated 6 years agofrom:8cb85d889b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 29 2024
R-4.5-linux-x86_64OKDec 29 2024

Exports:MatLDAMatLDA_GridMN_MLEPredictMN

Dependencies:glassoplyrRcppRcppArmadillo