summary.betareg {betareg} | R Documentation |
This function returns the coefficient estimates, the precision parameter phi estimate and the Pseudo R2.
summary.betareg(object,...)
object |
Fitted model using betareg |
... |
Optional arguments |
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). |
Alexandre de Bustamante Simas, Department of Statistics, Federal University of Pernambuco (alexandre@cox.de.ufpe.br).
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) attach(pratergrouped) y <- V11/100 X <- cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10) fit <- betareg(y ~ X) summary(fit)