Package: sda 1.3.9

Korbinian Strimmer

sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection

Provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.

Authors:Miika Ahdesmaki [aut], Verena Zuber [aut], Sebastian Gibb [aut], Korbinian Strimmer [aut, cre]

sda_1.3.9.tar.gz
sda_1.3.9.tar.gz(r-4.7-any)sda_1.3.9.tar.gz(r-4.6-any)
sda_1.3.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sda/json (API)

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

Bug tracker:https://github.com/strimmerlab/software/issues

Datasets:
  • khan2001 - Childhood Cancer Study of Khan et al.
  • singh2002 - Prostate Cancer Study of Singh et al.

On CRAN:

Conda:

4.15 score 2 packages 65 scripts 3.6k downloads 10 mentions 6 exports 3 dependencies

Last updated from:e63199d889. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK110
source / vignettesOK155
linux-release-x86_64OK104
wasm-releaseOK100

Exports:catscorecentroidsplot.sda.rankingpredict.sdasdasda.ranking

Dependencies:corpcorentropyfdrtool