stepwise {RcmdrMisc} | R Documentation |
Stepwise Model Selection
Description
This function is a front end to the stepAIC
function in the
MASS package.
Usage
stepwise(mod,
direction = c("backward/forward", "forward/backward", "backward", "forward"),
criterion = c("BIC", "AIC"), ...)
Arguments
mod |
a model object of a class that can be handled by |
direction |
if |
criterion |
for selection. Either |
... |
arguments to be passed to |
Value
The model selected by stepAIC
.
Author(s)
John Fox jfox@mcmaster.ca
References
W. N. Venables and B. D. Ripley Modern Applied Statistics Statistics with S, Fourth Edition Springer, 2002.
See Also
Examples
# adapted from ?stepAIC in MASS
if (require(MASS)){
data(birthwt)
bwt <- with(birthwt, {
race <- factor(race, labels = c("white", "black", "other"))
ptd <- factor(ptl > 0)
ftv <- factor(ftv)
levels(ftv)[-(1:2)] <- "2+"
data.frame(low = factor(low), age, lwt, race, smoke = (smoke > 0),
ptd, ht = (ht > 0), ui = (ui > 0), ftv)
})
birthwt.glm <- glm(low ~ ., family = binomial, data = bwt)
print(stepwise(birthwt.glm, trace = FALSE))
print(stepwise(birthwt.glm, direction="forward/backward"))
}