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:Mihai Giurcanu [aut, cre], Marinela Capanu [aut, ctb], Colin Begg [aut], Mithat Gonen [aut]

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)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 7 dependencies 242 scripts 138 downloads

Last updated 2 years agofrom:b5d37ff0bf. Checks:OK: 2. Indexed: yes.

Exports:optsopts_th

Dependencies:changepointcvToolsDEoptimRlatticeMASSrobustbasezoo