Extracting Information Criteria for MPR models.

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Description

This function extracts the Akaike Information Criterion (AIC) or Bayesian Information Criterion (BIC) from a fitted mpr model.

Usage

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extractIC(object, aic = TRUE)

Arguments

object

fitted mpr model.

aic

logical. If TRUE, AIC is extracted. If FALSE, BIC is extracted.

Value

The AIC or BIC value.

Author(s)

Kevin Burke.

See Also

mpr, addterm, dropterm.

Examples

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# Veterans' administration lung cancer data
data(veteran, package="survival")
head(veteran)

mod1 <- mpr(Surv(time, status) ~ list(~ trt, ~ trt), data=veteran, family="Weibull")
mod1
extractIC(mod1) # AIC
extractIC(mod1, aic=FALSE) # BIC