Package: msda 1.0.4

Yi Yang

msda: Multi-Class Sparse Discriminant Analysis

Efficient procedures for computing a new Multi-Class Sparse Discriminant Analysis method that estimates all discriminant directions simultaneously. It is an implementation of the work proposed by Mai, Q., Yang, Y., and Zou, H. (2019) <doi:10.5705/ss.202016.0117>.

Authors:Qing Mai [aut], Yi Yang [aut, cre], Hui Zou [aut]

msda_1.0.4.tar.gz
msda_1.0.4.tar.gz(r-4.7-arm64)msda_1.0.4.tar.gz(r-4.7-x86_64)msda_1.0.4.tar.gz(r-4.6-arm64)msda_1.0.4.tar.gz(r-4.6-x86_64)
msda_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
msda/json (API)

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

Bug tracker:https://github.com/archer-yang-lab/msda/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • GDS1615 - GDS1615 data introduced in Burczynski et al. (2012).

On CRAN:

Conda:

fortran

1.98 score 2 stars 48 scripts 232 downloads 2 exports 3 dependencies

Last updated from:d8b98583fb. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK147
linux-devel-x86_64OK261
source / vignettesOK134
linux-release-arm64OK141
linux-release-x86_64OK125
wasm-releaseOK108

Exports:cv.msdamsda

Dependencies:latticeMASSMatrix