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bigstep (version 0.7.4)

Stepwise Selection for Large Data Sets

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

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Version

Install

install.packages('bigstep')

Monthly Downloads

367

Version

0.7.4

License

GPL-3

Maintainer

Piotr Szulc

Last Published

April 5th, 2017

Functions in bigstep (0.7.4)

combineBigMatrices

Combine, transpose big matrices and change colnames
mbic2

mBIC2
selectModel

Model selection
singleTests

Single tests
bic

BIC
maic2

mAIC2
aic

AIC
fitLinear

Linear regression
maic

mAIC
fitPoisson

Poisson regression
fitLogistic

Logistic regression
mbic

mBIC
bigstep

Model selection