step_down: Naive backeward elimination

In BillVenables/WWRUtilities: Support Software and Data for WWR

Description

A simple facility to refine models by backward elimination. Covers cases where dropterm works but step_AIC does not

Usage

step_down(object, ..., trace = FALSE, k)

Arguments

object	A fitted model object
...	additional arguments passed to dropterm such as k
trace	logical: do you want a trace of the process printed?
k	penalty (default 2, as for AIC)

Value

A refined fitted model object

Examples

fm <- lm(medv ~ . + (rm + tax + lstat)^2 +
           I((rm - 6)^2) + I((tax - 400)^2) + I((lstat - 12)^2), Boston)
sfm <- step_down(fm, trace = TRUE, k = "bic")

BillVenables/WWRUtilities documentation built on Jan. 26, 2021, 10:18 p.m.