best.subsets {mixlm}

F-test based best subset selection.

Description

Adaptation of existing methods based on AIC/BIC.

Usage

best.subsets(model, nbest = 5, nvmax, digits, force.in = "NULL")

Arguments

model

object class lm to select effects from.

nbest

numeric indicating number of models to report of each size.

nvmax

numeric maximum size of subsets to examine.

digits

numeric giving number of digits in format of output.

force.in

character vector indicating effects to keep in all models.

Details

F-based versions of built in subset method.

Value

No return, only print.

Author(s)

Kristian Hovde Liland

Examples

data <- data.frame(y = rnorm(8),
				   x = factor(c('a','a','a','a','b','b','b','b')),
				   z = factor(c('a','a','b','b','a','a','b','b')))
mod <- lm(y ~ x + z, data=data)
best.subsets(mod)