extractAIC.survstan function

Extract AIC from a Fitted Model

Computes the (generalized) Akaike An Information Criterion for a fitted parametric model.

## S3 method for class 'survstan'
extractAIC(fit, scale, k = 2, ...)

Arguments

• fit: a fitted model of the class survstan
• scale: optional numeric specifying the scale parameter of the model. Currently only used in the "lm" method, where scale specifies the estimate of the error variance, and scale = 0 indicates that it is to be estimated by maximum likelihood.
• k: numeric specifying the ‘weight’ of the equivalent degrees of freedom part in the AIC formula.
• ...: further arguments passed to or from other methods.

Returns

the ANOVA table.

Examples

library(survstan)
fit1 <- aftreg(Surv(futime, fustat) ~ 1, data = ovarian, baseline = "weibull", init = 0)
fit2 <- aftreg(Surv(futime, fustat) ~ rx, data = ovarian, baseline = "weibull", init = 0)
fit3 <- aftreg(Surv(futime, fustat) ~ ecog.ps + rx, data = ovarian, baseline = "weibull", init = 0)
extractAIC(fit1)
extractAIC(fit2)
extractAIC(fit3)