bigstep: Stepwise Selection for Large Data Sets

Selecting 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.

Author
Piotr Szulc
Date of publication
2016-10-27 17:40:25
Maintainer
Piotr Szulc <piotr.michal.szulc@gmail.com>
License
GPL-3
Version
0.5.0

View on CRAN

Man pages

aic
AIC
bic
BIC
bigstep
Model selection
doSingleTests
Single tests
maic
mAIC
maic2
mAIC2
mbic
mBIC
mbic2
mBIC2
selectModel
Model selection
transposeBigMatrix
Transpose a big matrix

Files in this package

bigstep
bigstep/tests
bigstep/tests/testthat.R
bigstep/tests/testthat
bigstep/tests/testthat/test_backward.R
bigstep/tests/testthat/test_selection.R
bigstep/tests/testthat/test_prepare.R
bigstep/tests/testthat/test_crit.R
bigstep/tests/testthat/Xshort.txt.txt
bigstep/tests/testthat/test_fitmodel.R
bigstep/tests/testthat/test_forward.R
bigstep/tests/testthat/test_stepwise.R
bigstep/NAMESPACE
bigstep/R
bigstep/R/mbic.R
bigstep/R/doAllSteps.R
bigstep/R/prepareMatrix.R
bigstep/R/aic.R
bigstep/R/mbic2.R
bigstep/R/bigstep.R
bigstep/R/multiForward.R
bigstep/R/selectModel.R
bigstep/R/multiBackward.R
bigstep/R/transposeBigMatrix.R
bigstep/R/fitModel.R
bigstep/R/maic2.R
bigstep/R/forwardStep.R
bigstep/R/bic.R
bigstep/R/doSingleTests.R
bigstep/R/stepwise.R
bigstep/R/maic.R
bigstep/R/backwardStep.R
bigstep/MD5
bigstep/DESCRIPTION
bigstep/man
bigstep/man/mbic.Rd
bigstep/man/selectModel.Rd
bigstep/man/bigstep.Rd
bigstep/man/aic.Rd
bigstep/man/mbic2.Rd
bigstep/man/bic.Rd
bigstep/man/maic2.Rd
bigstep/man/transposeBigMatrix.Rd
bigstep/man/maic.Rd
bigstep/man/doSingleTests.Rd