Package: STOPES
Type: Package
Title: Selection Threshold Optimized Empirically via Splitting
Version: 0.2
Date: 2022-05-20
Author: Marinela Capanu [aut, cre], Mihai Giurcanu [aut, ctb], Colin
        Begg [aut], Mithat Gonen [aut]
Maintainer: Marinela Capanu <capanum@mskcc.org>
Authors@R: c(person("Marinela", "Capanu", role = c("aut", "cre"), email = "capanum@mskcc.org"),
  person("Mihai", "Giurcanu", role = c("aut", "ctb")),
  person("Colin", "Begg", role = "aut"),
  person("Mithat", "Gonen", role = "aut"))
Imports: MASS, cvTools, glmnet, changepoint
Description: 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).
License: GPL-2
NeedsCompilation: no
Packaged: 2026-10-16 06:49:34 UTC; root
Repository: https://capanum.r-universe.dev
Date/Publication: 2022-05-27 07:40:13 UTC
RemoteUrl: https://github.com/cran/STOPES
RemoteRef: HEAD
RemoteSha: 5a0d8ee2df4d92f3382b64d51c8cf6cd0ae0c322