STOPES: Selection Threshold Optimized Empirically via Splitting

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
DOI: 10.32614/CRAN.package.STOPES
Author: Marinela Capanu [aut, cre], Mihai Giurcanu [aut, ctb], Colin Begg [aut], Mithat Gonen [aut]
Maintainer: Marinela Capanu <capanum at>
License: GPL-2
NeedsCompilation: no
CRAN checks: STOPES results


Reference manual: STOPES.pdf


Package source: STOPES_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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