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logLik

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

Analysis of Overdispersed Data

v1.3.1
GPL (>= 2)
Authors
Matthieu Lesnoff <matthieu.lesnoff@cirad.fr> and Renaud Lancelot <renaud.lancelot@cirad.fr>
Initial release
2012-04-10

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