bigstep: Stepwise Selection for Large Data Sets
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: |
1.1.1 |
Depends: |
R (≥ 3.5.0) |
Imports: |
bigmemory, magrittr, matrixStats, R.utils, RcppEigen, speedglm, stats, utils |
Suggests: |
devtools, knitr, rmarkdown, testthat |
Published: |
2023-05-13 |
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:
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