Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. Bogdan et al., (2004) <doi:10.1534/genetics.103.021683>.
Version: 1.1.2 Depends: R (≥ 3.5.0) Imports: bigmemory, magrittr, matrixStats, R.utils, RcppEigen, speedglm, stats, utils Suggests: devtools, knitr, rmarkdown, testthat Published: 2025-03-10 DOI: 10.32614/CRAN.package.bigstep Author: Piotr Szulc [aut, cre] Maintainer: Piotr Szulc <piotr.michal.szulc at gmail.com> BugReports: https://github.com/pmszulc/bigstep/issues License: GPL-3 URL: https://github.com/pmszulc/bigstep NeedsCompilation: no Materials: README NEWS CRAN checks: bigstep results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=bigstep to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4