summary.betareg {betareg}R Documentation

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

Author(s)

Alexandre de Bustamante Simas, Instituto de Matemática Pura e Aplicada (alesimas@impa.br). This version was modified to fit the standards of the 'lm' and 'glm' models. Andréa Vanessa Rocha (andrea@cox.de.ufpe.br) helped in the development of this new function.

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)
  

[Package betareg version 1.2 Index]