summary.betareg {betareg} | R Documentation |
Methods for extracting information from fitted beta
regression model objects of class "betareg"
.
## 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, ...)
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. |
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.
Ferrari, S.L.P., and Cribari-Neto, F. (2004). Beta Regression for Modeling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815.
data("GasolineYield", package = "betareg") gy <- betareg(yield ~ gravity + pressure + temp10 + temp, data = GasolineYield) summary(gy) coef(gy) vcov(gy) logLik(gy) AIC(gy)