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. Special selection strategy is available, faster than classical stepwise procedure.

Documentation

Manual: bigstep.pdf
Vignette: None available.

Maintainer: Piotr Szulc <piotr.michal.szulc at gmail.com>

Author(s): Piotr Szulc

Install package and any missing dependencies by running this line in your R console:

install.packages("bigstep")

Depends R (>= 3.2.2)
Imports stats, methods, utils, RcppEigen, speedglm, bigmemory, R.utils, matrixStats
Suggests testthat, devtools
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Package bigstep
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Version 0.7.4
Published 2017-04-05
License GPL-3
BugReports
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NeedsCompilation no
Citation
CRAN checks bigstep check results
Package source bigstep_0.7.4.tar.gz