Extract Log-Likelihood of Model
This function extracts the log-likelihood from an object of coxme,
coxph, lmekin, maxlikeFit, vglm, or various
unmarkedFit classes.
extractLL(mod, ...) ## S3 method for class 'coxme' extractLL(mod, type = "Integrated", ...) ## S3 method for class 'coxph' extractLL(mod, ...) ## S3 method for class 'lmekin' extractLL(mod, ...) ## S3 method for class 'maxlikeFit' extractLL(mod, ...) ## S3 method for class 'unmarkedFit' extractLL(mod, ...) ## S3 method for class 'vglm' extractLL(mod, ...)
mod |
an object of |
... |
additional arguments passed to the function. |
type |
a character string indicating whether the integrated partial
likelihood ("Integrated") or penalized likelihood ("Penalized") is to
be used for a |
This utility function extracts the information from a coxme,
coxph, lmekin, maxlikeFit, vglm, or
unmarkedFit object resulting from distsamp,
gdistsamp, gmultmix, multinomPois,
gpcount, occu, occuRN, colext,
pcount, or pcountOpen.
These functions return the value of the log-likelihood of the model and associated degrees of freedom.
Marc J. Mazerolle
##single-season occupancy model example modified from ?occu
## Not run:
require(unmarked)
##single season
data(frogs)
pferUMF <- unmarkedFrameOccu(pfer.bin)
## add some fake covariates for illustration
siteCovs(pferUMF) <- data.frame(sitevar1 = rnorm(numSites(pferUMF)),
sitevar2 = rnorm(numSites(pferUMF)))
## observation covariates are in site-major, observation-minor order
obsCovs(pferUMF) <- data.frame(obsvar1 = rnorm(numSites(pferUMF) *
obsNum(pferUMF)))
##run model set
fm1 <- occu(~ obsvar1 ~ sitevar1, pferUMF)
##extract log-likelihood
extractLL(fm1)
detach(package:unmarked)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.