summary.betareg {betareg} | R Documentation |
'summary' method for class 'betareg'.
summary.betareg(object,...)
object |
Fitted model using betareg |
... |
Optional arguments |
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 |
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.
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.
betareg
, br.fit
, predict.betareg
, residuals.betareg
data(pratergrouped) fit <- betareg(oil ~ batch1 + batch2 + batch3 + batch4 + batch5 + batch6 + batch7 + batch8 + batch9 + temp, data=pratergrouped) summary(fit)