summary.betareg {betareg}R Documentation

Summary method for Beta Regression

Description

This function returns the coefficient estimates, the precision parameter phi estimate and the Pseudo R2.

Usage

summary.betareg(object,...)

Arguments

object Fitted model using betareg
... Optional arguments

Value

coefficients a p by 4 matrix with the columns for the estimated coefficients, the std. errors, the critical values of a normal distribution and the corresponded p-values.
estimated phi the estimated value of the precision parameter.
Pseudo R2 the value of the pseudo R2 which is described by Ferrari and Cribari-Neto(2004).

Author(s)

Alexandre de Bustamante Simas, Department of Statistics, Federal University of Pernambuco (alexandredbs@cox.de.ufpe.br).

References

FERRARI, S.L.P., CRIBARI-NETO, F. (2004). Beta regression for modeling rates and proportions. Journal of Applied Statistics, forthcoming.

See Also

betareg, br.fit, predict.betareg, residuals.betareg

Examples

data(pratergrouped)
attach(pratergrouped)
y <- V11/100
X <- cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10)
fit <- betareg(y ~ X)
summary(fit)
  

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