Package: glmlep 0.2

glmlep: Fit GLM with LEP-Based Penalized Maximum Likelihood

Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by LEP.

Authors:Canhong Wen, Hao Lin, Xueqin Wang

glmlep_0.2.tar.gz
glmlep_0.2.zip(r-4.7-x86_64)glmlep_0.2.zip(r-4.7-arm64)glmlep_0.2.zip(r-4.6-x86_64)glmlep_0.2.zip(r-4.6-arm64)glmlep_0.2.zip(r-4.5-x86_64)
glmlep_0.2.tgz(r-4.6-x86_64)glmlep_0.2.tgz(r-4.6-arm64)glmlep_0.2.tgz(r-4.5-x86_64)glmlep_0.2.tgz(r-4.5-arm64)
glmlep_0.2.tar.gz(r-4.7-arm64)glmlep_0.2.tar.gz(r-4.7-x86_64)glmlep_0.2.tar.gz(r-4.6-arm64)glmlep_0.2.tar.gz(r-4.6-x86_64)
glmlep_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
glmlep/json (API)

# Install 'glmlep' in R:
install.packages('glmlep', repos = c('https://wencanhong-coder.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.00 score 212 downloads 2 exports 0 dependencies

Last updated from:13d1bcb83d. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK98
linux-devel-x86_64OK110
source / vignettesOK185
linux-release-arm64OK87
linux-release-x86_64OK97
macos-release-arm64OK86
macos-release-x86_64OK266
macos-oldrel-arm64OK87
macos-oldrel-x86_64OK287
windows-devel-arm64OK296
windows-devel-x86_64OK107
windows-release-arm64OK346
windows-release-x86_64OK76
windows-oldrel-x86_64OK60
wasm-releaseOK87

Exports:cv.glmlepglmlep

Dependencies: