extractAIC.survstan: Extract AIC from a Fitted Model
| extractAIC.survstan | R Documentation |
Extract AIC from a Fitted Model
Description
Computes the (generalized) Akaike An Information Criterion for a fitted parametric model.
Usage
## 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. |
Value
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)
