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-4.7-any)OPTS_0.1.tar.gz(r-4.6-any)
OPTS_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
OPTS/json (API)

# Install 'OPTS' in R:
install.packages('OPTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

2.47 score 294 scripts 170 downloads 2 exports 7 dependencies

Last updated from:b5d37ff0bf. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK173
linux-release-x86_64OK109
wasm-releaseOK98

Exports:optsopts_th

Dependencies:changepointcvToolsDEoptimRlatticeMASSrobustbasezoo