mpr (version 1.0.5)

extractIC: Extracting Information Criteria for MPR models.

Description

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

Usage

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.

See Also

mpr, addterm, dropterm.

Examples

# NOT RUN {
# 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


# }