maic2

a numeric > 0, the residual sum of squares.

an integer > 0, a number of observations.

an integer >= 0, a number of chosen variables.

an integer > 0, a number of all variables or a weight.

numeric > 0, the expected number of significant variables.

const


Calculate mAIC2 (the second version of modified Akaike Information
Criterion).


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.

maic2: mAIC2

Description

Usage

Arguments

Value

Examples