The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=glmvsd to link to this page.
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.
Health stats visible at Monitor.