Package: OPTS 0.1
Mihai Giurcanu
OPTS: Optimization via Subsampling (OPTS)
Subsampling based variable selection for low dimensional generalized linear models. The methods repeatedly subsample the data minimizing an information criterion (AIC/BIC) over a sequence of nested models for each subsample. Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models.
Authors:
OPTS_0.1.tar.gz
OPTS_0.1.tar.gz(r-4.5-noble)OPTS_0.1.tar.gz(r-4.4-noble)
OPTS_0.1.tgz(r-4.4-emscripten)OPTS_0.1.tgz(r-4.3-emscripten)
OPTS.pdf |OPTS.html✨
OPTS/json (API)
| # Install 'OPTS' in R: |
| install.packages('OPTS', repos = c('https://cran.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:b5d37ff0bf. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 26 2025 |
| R-4.5-linux | OK | Jan 26 2025 |
Dependencies:changepointcvToolsDEoptimRlatticeMASSrobustbasezoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Optimization via Subsampling (OPTS) | opts |
| Threshold OPTimization via Subsampling (OPTS_TH) | opts_th |