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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.
Version: | 1.5 |
Depends: | stats, MASS, glmnet, ncvreg, brglm, parallel |
Published: | 2022-08-14 |
DOI: | 10.32614/CRAN.package.glmvsd |
Author: | Ying Nan, Yanjia Yu, Yi Yang, Yuhong Yang |
Maintainer: | Yi Yang <yi.yang6 at mcgill.ca> |
License: | GPL-2 |
URL: | https://github.com/emeryyi/glmvsd |
NeedsCompilation: | no |
Materials: | ChangeLog |
CRAN checks: | glmvsd results |
Reference manual: | glmvsd.pdf |
Package source: | glmvsd_1.5.tar.gz |
Windows binaries: | r-devel: glmvsd_1.5.zip, r-release: glmvsd_1.5.zip, r-oldrel: glmvsd_1.5.zip |
macOS binaries: | r-release (arm64): glmvsd_1.5.tgz, r-oldrel (arm64): glmvsd_1.5.tgz, r-release (x86_64): glmvsd_1.5.tgz, r-oldrel (x86_64): glmvsd_1.5.tgz |
Old sources: | glmvsd archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.