coef.enbin: Extractor Methods for enbin Objects

In enbin: Extended Negative Binomial (NB2) Regression

Description

Methods for extracting information from fitted enbin objects.

Usage

## S3 method for class 'enbin'
coef(object, model = c("full", "location", "scale"), ...)
## S3 method for class 'enbin'
vcov(object, model = c("full", "location", "scale"), ...)

## S3 method for class 'enbin'
terms(x, model = c("location", "scale", "full"), ...)
## S3 method for class 'enbin'
model.matrix(object, model = c("location", "scale"), ...)

Arguments

object, x	an object of class "enbin".
model	character indicating (sub)model for which information should be extracted.
...	currently not used.

Details

In addition to the methods above, a set of standard extractor functions for "enbin" objects is available, see enbin for an overview.

See Also

enbin

Examples

## extended negative binomial model
data("RecreationDemand", package = "AER")
m <- enbin(trips ~ . - income | . - income, data = RecreationDemand)

## extract coefficients
coef(m)
coef(m, model = "location")
coef(m, model = "scale")

## corresponding model matrices
head(model.matrix(m, model = "location"))
head(model.matrix(m, model = "scale"))

enbin documentation built on May 2, 2019, 5:57 p.m.