predict.betareg {betareg} | R Documentation |
Prediction Method for betareg Objects
Description
Extract various types of predictions from beta regression models:
either on the scale of responses in (0, 1) or the scale of
the linear predictor.
Usage
## S3 method for class 'betareg':
predict(object, newdata = NULL,
type = c("response", "link", "precision", "variance"), na.action = na.pass, ...)
Arguments
object |
fitted model object of class "betareg" . |
newdata |
optionally, a data frame in which to look for variables with
which to predict. If omitted, the original observations are used. |
type |
character indicating type of predictions: fitted means of response ("response" ),
corresponding linear predictor ("link" ), fitted precision parameter
phi ("precision" ), or fitted variances of response ("variance" ). |
na.action |
function determining what should be done with missing values
in newdata . The default is to predict NA . |
... |
currently not used. |
Examples
data("GasolineYield", package = "betareg")
gy2 <- betareg(yield ~ batch + temp | temp, data = GasolineYield)
cbind(
predict(gy2, type = "response"),
predict(gy2, type = "link"),
predict(gy2, type = "precision"),
predict(gy2, type = "variance")
)
[Package
betareg version 2.1-2
Index]