robustbetareg (version 0.3.1)

predict: Prediction Methods for robustbetareg Objects Class

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, from robustbetareg objects.

Usage

predict(
  object,
  newdata = NULL,
  type = c("response", "link", "precision", "variance", "quantile"),
  at = 0.5,
  ...
)

Value

Return a vector with the predicted values.

Arguments

object

fitted model object of class "robustbetareg".

newdata

optional, a data frame with new predictor values. If omitted, the original predictors are used.

type

character indicating type of predictions: fitted means of response ("response"), corresponding linear predictor ("link"), fitted precision parameter phi ("precision"), fitted variances of response ("variance"), or fitted quantile(s) of the response distribution ("quantile").

at

numeric vector indicating the level(s) at which quantiles should be predicted (only if type = "quantile"). Default is the median at = 0.5.

...

currently not used.

Examples

# \donttest{
get(data("HIC", package = "robustbetareg"))
hic <- robustbetareg(HIC ~ URB + GDP | 1, data = HIC, alpha = 0.04)
cbind(predict(hic, type = "response"), predict(hic, type = "quantile", at = c(0.25, 0.5, 0.75)))
# }