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Implements variable selection procedures for low to moderate size generalized linear regressions models. It includes the STOPES functions for linear regression (Capanu M, Giurcanu M, Begg C, Gonen M, Optimized variable selection via repeated data splitting, Statistics in Medicine, 2020, 19(6):2167-2184) as well as subsampling based optimization methods for generalized linear regression models (Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models).
| Version: | 0.2 |
| Imports: | MASS, cvTools, glmnet, changepoint |
| Published: | 2022-05-27 |
| Author: | Marinela Capanu [aut, cre], Mihai Giurcanu [aut, ctb], Colin Begg [aut], Mithat Gonen [aut] |
| Maintainer: | Marinela Capanu <capanum at mskcc.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | STOPES results |
| Reference manual: | STOPES.pdf |
| Package source: | STOPES_0.2.tar.gz |
| Windows binaries: | r-devel: STOPES_0.2.zip, r-release: STOPES_0.2.zip, r-oldrel: STOPES_0.2.zip |
| macOS binaries: | r-release (arm64): STOPES_0.2.tgz, r-oldrel (arm64): STOPES_0.2.tgz, r-release (x86_64): STOPES_0.2.tgz, r-oldrel (x86_64): STOPES_0.2.tgz |
| Old sources: | STOPES archive |
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These binaries (installable software) and packages are in development.
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