Package: STOPES
Type: Package
Title: Selection Threshold Optimized Empirically via Splitting
Version: 0.1
Date: 2019-05-15
Author: Marinela Capanu, Mihai Giurcanu, Colin Begg, and Mithat Gonen
Maintainer: Marinela Capanu <capanum@mskcc.org>
Imports: changepoint, glmnet, MASS
Description: A variable selection procedure for low to moderate size linear regressions models. This method repeatedly splits the data into two sets, one for estimation and one for validation, to obtain an empirically optimized threshold which is then used to screen for variables to include in the final model.
License: GPL-2
NeedsCompilation: no
Packaged: 2019-06-13 17:20:14 UTC; mgiurcanu
Repository: CRAN
Date/Publication: 2019-06-14 08:10:03 UTC
Built: R 4.0.2; ; 2020-07-16 17:34:17 UTC; unix
