MASSExtra: step_down – R documentation

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step_down

Naive backeward elimination

Description

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

Usage

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

Arguments

`object`	A fitted model object
`...`	additional arguments passed to `drop_term` 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")

MASSExtra

Some 'MASS' Enhancements

v1.1.2

GPL-2 | GPL-3

Authors

Bill Venables

Initial release