betareg (version 1.2.1)

summary.betareg: Summary method for Beta Regression

Description

'summary' method for class 'betareg'.

Usage

summary.betareg(object,...)

Arguments

object

Fitted model using betareg

...

Optional arguments

Value

• call
  the component from object
• deviance residuals
  a summary of the deviance residuals, see residuals.betareg
• 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 together with its standard error.
• null deviance
  the deviance from the model only containing the intercept (but, assuming the estimated phi from the current model)
• residual deviance
  the deviance from the current model
• log-likelihood ratio statistic
  the log-likelihood ratio statistic from the full model against the model containing only the intercept
• Pseudo R2
  the value of the pseudo R2 which is described by Ferrari and Cribari-Neto(2004).
• AIC
  the corresponding AIC

References

FERRARI, S.L.P., CRIBARI-NETO, F. (2004). Beta regression for modeling rates and proportions. Journal of Applied Statistics, v. 31, n. 7, p. 799-815.

See Also

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

Examples

data(pratergrouped)
fit <- betareg(oil ~ batch1 + batch2 + batch3 + batch4 + batch5 + 
batch6 + batch7 + batch8 + batch9 + temp, data=pratergrouped)
summary(fit)