Package: bigstep
Type: Package
Title: Stepwise Selection for Large Data Sets
Version: 1.1.2
Date: 2025-2-10
Authors@R: person("Piotr", "Szulc", email = "piotr.michal.szulc@gmail.com", role = c("aut", "cre"))
Description: 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>.
License: GPL-3
URL: https://github.com/pmszulc/bigstep
BugReports: https://github.com/pmszulc/bigstep/issues
Depends: R (>= 3.5.0)
Imports: bigmemory, magrittr, matrixStats, R.utils, RcppEigen,
        speedglm, stats, utils
Suggests: devtools, knitr, rmarkdown, testthat
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Repository: https://pmszulc.r-universe.dev
Date/Publication: 2025-03-10 06:15:31 UTC
RemoteUrl: https://github.com/pmszulc/bigstep
RemoteRef: HEAD
RemoteSha: 37ab6d4f9c45ad54ab987e8f1891cd74ea18e4f1
NeedsCompilation: no
Packaged: 2026-09-20 07:15:03 UTC; root
Author: Piotr Szulc [aut, cre]
Maintainer: Piotr Szulc <piotr.michal.szulc@gmail.com>