Package: glmlep 0.2

Canhong Wen

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.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
card.svg |card.png
glmlep/json (API)

# Install 'glmlep' in R:
install.packages('glmlep', repos = c('https://cran.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 3 scripts 182 downloads 2 exports 0 dependencies

Last updated from:13d1bcb83d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK112
linux-devel-x86_64OK94
source / vignettesOK126
linux-release-arm64OK103
linux-release-x86_64OK95
wasm-releaseOK84

Exports:cv.glmlepglmlep

Dependencies: