predict.betareg

0th

Percentile

Prediction Method for betareg Objects

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.

Keywords
regression
Usage
# S3 method for betareg
predict(object, newdata = NULL,
  type = c("response", "link", "precision", "variance", "quantile"),
  na.action = na.pass, at = 0.5, …)
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"), fitted variances of response ("variance"), or fitted quantile(s) of the response distribution ("quantile").

na.action

function determining what should be done with missing values in newdata. The default is to predict NA.

at

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

currently not used.

Aliases
  • predict.betareg
Examples
# NOT RUN {
options(digits = 4)

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"),
  predict(gy2, type = "quantile", at = c(0.25, 0.5, 0.75))
)
# }
Documentation reproduced from package betareg, version 3.1-3, License: GPL-2 | GPL-3

Community examples

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