Package: STOPES 0.2
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).
Authors:
STOPES_0.2.tar.gz
STOPES_0.2.zip(r-4.5)STOPES_0.2.zip(r-4.4)STOPES_0.2.zip(r-4.3)
STOPES_0.2.tgz(r-4.5-any)STOPES_0.2.tgz(r-4.4-any)STOPES_0.2.tgz(r-4.3-any)
STOPES_0.2.tar.gz(r-4.5-noble)STOPES_0.2.tar.gz(r-4.4-noble)
STOPES_0.2.tgz(r-4.4-emscripten)STOPES_0.2.tgz(r-4.3-emscripten)
STOPES.pdf |STOPES.html✨
STOPES/json (API)
# Install 'STOPES' in R: |
install.packages('STOPES', repos = c('https://capanum.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:5a0d8ee2df. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 16 2025 |
R-4.5-win | OK | Mar 16 2025 |
R-4.5-mac | OK | Mar 16 2025 |
R-4.5-linux | OK | Mar 16 2025 |
R-4.4-win | OK | Mar 16 2025 |
R-4.4-mac | OK | Mar 16 2025 |
R-4.4-linux | OK | Mar 16 2025 |
R-4.3-win | OK | Mar 16 2025 |
R-4.3-mac | OK | Mar 16 2025 |
Exports:alasso.cvoptsopts_thstopes
Dependencies:changepointcodetoolscvToolsDEoptimRforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenrobustbaseshapesurvivalzoo