aic: Akaike's Information Criterion

In jinimp/zhbit7: Regression method set

Description

The AIC value of the whole model in the selection of independent variables

Usage

aic(x, y, ...)

Arguments

x	independent variable, which can be a data frame or a matrix.
y	dependent variable, which can be a data frame or a matrix.
...	see regsubsets

Value

aic	the result AIC and p returned is numeric
p	numeric

Author(s)

Jinquan Lin

See Also

regsubsets, leaps,nobs

Examples

##----

data(table51)
x=table51[1:3]
y=table51[4]						
aic(x=x,y=y,nbest=3,method= "exhaustive")

jinimp/zhbit7 documentation built on May 19, 2019, 10:36 a.m.