ModelGood (version 1.0.9)

AutoSelectLRM: Automated backward elemination for logistic regression

Description

Wrapper for automated backward elemination for logistic regression

Usage

AutoSelectLRM(formula, data, ...)

Arguments

formula

passed to lrm

data

passed to lrm

...

passed to fastbw

Value

object of class AutoSelectLRM

Details

First run backward elemination via fastbw from the rms package, then fit the logistic regression model including the selected variables

See Also

fastbw lrm

Examples

library(rms)
set.seed(7)
x <- abs(rnorm(20))
d <- data.frame(y=rbinom(20,1,x/max(x)),x=x,z=rnorm(20))
fbw <- AutoSelectLRM(y~x+z,d)
predictStatusProb(fbw,newdata=d[1:3,])