Package: msda 1.0.2

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.

Authors:Qing Mai <[email protected]>, Yi Yang <[email protected]>, Hui Zou <[email protected]>

msda_1.0.2.tar.gz
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msda_1.0.2.tgz(r-4.6-x86_64)msda_1.0.2.tgz(r-4.6-arm64)msda_1.0.2.tgz(r-4.5-x86_64)msda_1.0.2.tgz(r-4.5-arm64)
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msda_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
msda/json (API)

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

Bug tracker:https://github.com/emeryyi/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

3.16 score 3 stars 48 scripts 242 downloads 2 exports 3 dependencies

Last updated from:473a6cd1e8. Checks:12 NOTE, 2 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE123
linux-devel-x86_64NOTE107
source / vignettesOK138
linux-release-arm64NOTE81
linux-release-x86_64NOTE112
macos-release-arm64NOTE107
macos-release-x86_64NOTE225
macos-oldrel-arm64NOTE106
macos-oldrel-x86_64NOTE287
windows-devel-arm64NOTE185
windows-devel-x86_64NOTE128
windows-release-arm64WARNING190
windows-release-x86_64NOTE76
windows-oldrel-x86_64NOTE84
wasm-releaseOK91

Exports:cv.msdamsda

Dependencies:latticeMASSMatrix