Package: stepPlr 0.93

Mee Young Park

stepPlr: L2 Penalized Logistic Regression with Stepwise Variable Selection

L2 penalized logistic regression for both continuous and discrete predictors, with forward stagewise/forward stepwise variable selection procedure.

Authors:Mee Young Park, Trevor Hastie

stepPlr_0.93.tar.gz
stepPlr_0.93.tar.gz(r-4.7-arm64)stepPlr_0.93.tar.gz(r-4.7-x86_64)stepPlr_0.93.tar.gz(r-4.6-arm64)stepPlr_0.93.tar.gz(r-4.6-x86_64)
stepPlr_0.93.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
stepPlr/json (API)

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

On CRAN:

Conda:

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

3.11 score 50 scripts 3.6k downloads 7 mentions 10 exports 0 dependencies

Last updated from:97e91863a2. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK106
linux-devel-x86_64OK88
source / vignettesOK134
linux-release-arm64OK95
linux-release-x86_64OK123
wasm-releaseOK87

Exports:anova.stepplrcv.step.plrplrpredict.plrpredict.stepplrprint.plrprint.stepplrstep.plrsummary.plrsummary.stepplr

Dependencies: