summary.betareg {betareg}R Documentation

Methods for betareg Objects

Description

Methods for extracting information from fitted beta regression model objects of class "betareg".

Usage

## S3 method for class 'betareg':
summary(object, phi = NULL, ...)

## S3 method for class 'betareg':
coef(object, phi = NULL, ...)
## S3 method for class 'betareg':
vcov(object, phi = NULL, ...)
## S3 method for class 'betareg':
bread(x, phi = NULL, ...)
## S3 method for class 'betareg':
estfun(x, phi = NULL, ...)

Arguments

object, x fitted model object of class "betareg".
phi logical indicating whether the precision/dispersion parameter phi should be reported as a full model parameter (TRUE) or a nuisance parameter (FALSE). The default is taken from object$phi.
... currently not used.

Details

A set of standard extractor functions for fitted model objects is available for objects of class "betareg", including methods to the generic functions print and summary which print the estimated coefficients along with some further information. The summary in particular supplies partial Wald tests based on the coefficients and the covariance matrix. As usual, the summary method returns an object of class "summary.betareg" containing the relevant summary statistics which can subsequently be printed using the associated print method.

A logLik method is provided, hence AIC can be called to compute information criteria.

References

Ferrari, S.L.P., and Cribari-Neto, F. (2004). Beta Regression for Modeling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815.

See Also

betareg

Examples

data("GasolineYield", package = "betareg")

gy <- betareg(yield ~ gravity + pressure + temp10 + temp, data = GasolineYield)

summary(gy)
coef(gy)
vcov(gy)
logLik(gy)
AIC(gy)

[Package betareg version 2.0-0 Index]