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betareg (version 1.0-1)

summary.betareg: 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

  • coefficientsa 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 phithe estimated value of the precision parameter.
  • Pseudo R2the value of the pseudo R2 which is described by Ferrari and Cribari-Neto(2004).

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

Run this code
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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