betareg (version 1.2.1)

predict.betareg: Predicted values from beta regression model.

Description

This function returns predictions from a fitted betareg object..

Usage

predict.betareg(object, newdata = NULL, type = c("link", "response"), ... )

Arguments

object

fitted model using betareg

newdata

optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used.

type

the type of prediction required. The default is on the scale of the linear predictors; the alternative '"response"' is on the scale of the response variable.

...

Optional arguments

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, summary.betareg, residuals.betareg

Examples

data(pratergrouped)
fit <- betareg(oil ~ batch1 + batch2 + batch3 + batch4 + batch5 + 
batch6 + batch7 + batch8 + batch9 + temp, data=pratergrouped)
summary(fit)
new <- data.frame(x = cbind(0,1,1,0,1,0,1,1,1,201))
predict(fit)
predict(fit,new)
predict(fit,new,type="response")