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:
msda_1.0.4.tar.gz
msda_1.0.4.zip(r-4.7-x86_64)msda_1.0.4.zip(r-4.7-arm64)msda_1.0.4.zip(r-4.6-x86_64)msda_1.0.4.zip(r-4.6-arm64)
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✨
DESCRIPTION
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
- GDS1615 - GDS1615 data introduced in Burczynski et al. (2012).
Last updated from:d8b98583fb. Checks:9 OK, 1 WARNING. Indexed: no.
