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-4.5)glmvsd_1.5.zip(r-4.4)glmvsd_1.5.zip(r-4.3)
glmvsd_1.5.tgz(r-4.4-any)glmvsd_1.5.tgz(r-4.3-any)
glmvsd_1.5.tar.gz(r-4.5-noble)glmvsd_1.5.tar.gz(r-4.4-noble)
glmvsd_1.5.tgz(r-4.4-emscripten)glmvsd_1.5.tgz(r-4.3-emscripten)
glmvsd.pdf |glmvsd.html
glmvsd/json (API)

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

Peer review:

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

On CRAN:

2 exports 3 stars 1.11 score 14 dependencies 5 scripts 291 downloads

Last updated 2 years agofrom:624030885b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winOKSep 03 2024
R-4.5-linuxOKSep 03 2024
R-4.4-winOKSep 03 2024
R-4.4-macOKSep 03 2024
R-4.3-winOKSep 03 2024
R-4.3-macOKSep 03 2024

Exports:glmvsdstability.test

Dependencies:brglmcodetoolsforeachglmnetiteratorslatticeMASSMatrixncvregprofileModelRcppRcppEigenshapesurvival