betareg: predict.betareg – R documentation

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predict.betareg

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", "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.

Examples

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))
)

betareg

Beta Regression

v3.1-4

GPL-2 | GPL-3

Authors

Achim Zeileis [aut, cre], Francisco Cribari-Neto [aut], Bettina Gruen [aut], Ioannis Kosmidis [aut], Alexandre B. Simas [ctb] (earlier version by), Andrea V. Rocha [ctb] (earlier version by)

Initial release

2021-02-09