logLik.BinaryEPPM: Extract Log-Likelihood

In BinaryEPPM: Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data

Extract Log-Likelihood

Description

This function is generic. It is a method for extracting the log-likelihood for objects of class "BinaryEPPM".

Usage

## S3 method for class 'BinaryEPPM'
logLik(object, ...)

Arguments

object	fitted model object of class "BinaryEPPM".
...	some methods for this generic function require additional arguments

Details

logLik is most commonly used for a model fitted by maximum likelihood as is done here.

Value

The log likelihood value for the fitted model object.

Author(s)

David M. Smith <[e-mail]>

See Also

betareg

BinaryEPPM documentation built on June 22, 2024, 10:30 a.m.