Package: glmvsd 1.5

glmvsd: Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models

Variable selection deviation (VSD) measures and instability tests for high-dimensional model selection methods such as LASSO, SCAD and MCP, etc., to decide whether the sparse patterns identified by those methods are reliable.

Authors:Ying Nan <[email protected]>, Yanjia Yu <[email protected]>, Yi Yang <[email protected]>, Yuhong Yang <[email protected]>

glmvsd_1.5.tar.gz
glmvsd_1.5.zip(r-4.7)glmvsd_1.5.zip(r-4.6)glmvsd_1.5.zip(r-4.5)
glmvsd_1.5.tgz(r-4.6-any)glmvsd_1.5.tgz(r-4.5-any)
glmvsd_1.5.tar.gz(r-4.7-any)glmvsd_1.5.tar.gz(r-4.6-any)
glmvsd_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
glmvsd/json (API)

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

Bug tracker:https://github.com/emeryyi/glmvsd/issues

On CRAN:

Conda:

2.78 score 3 stars 7 scripts 175 downloads 2 exports 14 dependencies

Last updated from:624030885b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK154
linux-release-x86_64OK102
macos-release-arm64OK113
macos-oldrel-arm64OK91
windows-develOK85
windows-releaseOK100
windows-oldrelOK106
wasm-releaseOK94

Exports:glmvsdstability.test

Dependencies:brglmcodetoolsforeachglmnetiteratorslatticeMASSMatrixncvregprofileModelRcppRcppEigenshapesurvival