logLik.hglm: Extracts log-likelihood values

In hglm: Hierarchical Generalized Linear Models

Description

Extracts log-likelihood values from an existing hglm object hglm.obj.

Usage

## S3 method for class 'hglm'
logLik(object, REML=NULL, ...)

Arguments

object	A fitted hglm object.
REML	The default NULL returns all computed log-likelihoods. The option REML=TRUE returns only the adjusted profile log-likelihood profiled over fixed and random effects.
...	This argument is not used.

Details

The use of log-likelihoods and cAIC is described in Lee, Nelder and Pawitan (2006).

Value

A list of log-likelihood values for model selection purposes, where $hlik is the log-h-likelihood, $pvh the adjusted profile log-likelihood profiled over random effects, $pbvh the adjusted profile log-likelihood profiled over fixed and random effects, and $cAIC the conditional AIC.

References

Youngjo Lee, John A Nelder and Yudi Pawitan (2006) Generalized Linear Models with Random Effect: a unified analysis via h-likelihood. Chapman and Hall/CRC.

hglm documentation built on May 2, 2019, 7:36 a.m.