bergreg-methods: Methods for 'bergreg' objects

In rdmatheus/bergreg: BerG Regression for Count Data

Description

Methods for 'bergreg' objects

Usage

## S3 method for class 'bergreg'
print(x, ...)

## S3 method for class 'bergreg'
summary(object, ...)

## S3 method for class 'summary.bergreg'
print(x, ...)

## S3 method for class 'bergreg'
coef(object, model = c("full", "mean", "dispersion"), ...)

## S3 method for class 'bergreg'
vcov(object, model = c("full", "mean", "dispersion"), ...)

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

## S3 method for class 'bergreg'
AIC(object, ..., k = 2)

## S3 method for class 'bergreg'
model.matrix(object, model = c("mean", "dispersion"), ...)

Arguments

x, object	an object of class bergreg.
...	further arguments passed to or from other methods.
model	a character indicating which parameter coefficients are required, parameters for the "mean" or for the "dispersion" model. If "full" (default), a list with coefficients for the mean and for the dispersion model is returned.
k	numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.

Author(s)

Rodrigo M. R. Medeiros <[e-mail]>

rdmatheus/bergreg documentation built on Dec. 22, 2021, 1:04 p.m.