extractIC: Extracting Information Criteria for MPR models.

In mpr: Multi-Parameter Regression (MPR)

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.

Author(s)

Kevin Burke.

See Also

mpr, addterm, dropterm.

Examples

# Veterans' administration lung cancer data
veteran <- survival::veteran
head(veteran)

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

mpr documentation built on Jan. 8, 2022, 9:06 a.m.