logLik: Methods for Functions "logLik" in Package "aod"

In aod: Analysis of Overdispersed Data

Methods for Functions "logLik" in Package "aod"

Description

Extracts the maximized log-likelihood from fitted models of formal class “glimML”.

Usage

## S4 method for signature 'glimML'
logLik(object, ...)

Arguments

object	A fitted model of formal class “glimML” (functions betabin or negbin).
...	Other arguments passed to methods.

Value

A numeric scalar with 2 attributes: “df” (number of parameters in the model) and “nobs” (number of observations = degrees of freedom of the residuals + number of parameters in the model).

Methods

ANY

Generic function: see logLik.

glimML

Extract the maximized log-likelihood from models of formal class “glimML”, fitted by functions betabin and negbin.

See Also

logLik in package stats.

aod documentation built on April 2, 2022, 9:05 a.m.