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.

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Description file content

Package
bigstep
Type
Package
Title
Stepwise Selection for Large Data Sets
Version
1.0.0
Date
2018-9-12
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.
License
GPL-3
URL
BugReports
http://github.com/pmszulc/bigstep/issues
Depends
R (>= 3.5.0)
Imports
bigmemory, magrittr, matrixStats, methods, R.utils, RcppEigen, speedglm, stats, utils
Suggests
devtools, knitr, rmarkdown, testthat
Encoding
UTF-8
RoxygenNote
6.1.0
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-09-12 18:49:17 UTC; user
Author
Piotr Szulc [aut, cre]
Maintainer
Piotr Szulc
Repository
CRAN
Date/Publication
2018-09-12 19:10:03 UTC

install.packages('bigstep')

1.0.0

12 days ago

http://github.com/pmszulc/bigstep

Piotr Szulc

GPL-3

Depends on

R (>= 3.5.0)

Imports

bigmemory, magrittr, matrixStats, methods, R.utils, RcppEigen, speedglm, stats, utils

Suggests

devtools, knitr, rmarkdown, testthat

Discussions