AICcmodavg (version 1.26)

extract.LL: Extract Log-Likelihood of Model

Description

This function extracts the log-likelihood from an object of 'coxph' or various 'unmarkedFit' classes.

Usage

extract.LL(mod)
extract.LL.coxph(mod)
extract.LL.unmarked(mod)

Arguments

mod

an object of 'coxph' or 'unmarkedFit' class resulting from the fit of 'distsamp', 'gdistsamp', 'occu', 'occuRN', 'colext', 'pcount', or 'pcountOpen'

Value

• 'extract.LL.coxph' and 'extract.LL.unmarked' return the value of the log-likelihood of the model and associated degrees of freedom.

Details

This utility function extracts the information from a 'coxph' or 'unmarkedFit' object resulting from 'distsamp', 'gdistsamp', 'occu', 'occuRN', 'colext', 'pcount', or 'pcountOpen'.

See Also

AICc, aictab, coxph, distsamp, gdistsamp, occu, occuRN, colext, pcount, pcountOpen

Examples

##modified example of single-season model with heterogeneity from ?occuRN
require(unmarked)
data(birds)
woodthrushUMF <- unmarkedFrameOccu(woodthrush.bin)

##survey occasion-specific detection probabilities
fm.wood.rn <- occuRN(~ obsNum ~ 1, woodthrushUMF)

##extract log-likelihood
extract.LL(fm.wood.rn)

detach(package:unmarked)


##modified example of Cox regression from ?coxph
require(survival)
##Create a simple data set for a time-dependent model
test2 <- list(start=c(1, 2, 5, 2, 1, 7, 3, 4, 8, 8),
              stop =c(2, 3, 6, 7, 8, 9, 9, 9,14,17),
              event=c(1, 1, 1, 1, 1, 1, 1, 0, 0, 0),
              x    =c(1, 0, 0, 1, 0, 1, 1, 1, 0, 0) )
m.cox <- coxph(Surv(start, stop, event) ~ x, test2)
extract.LL(m.cox)
detach(package:survival)