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.

1 2 3 4 |

`object` |
fitted model object of class |

`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 ( |

`na.action` |
function determining what should be done with missing values
in |

`at` |
numeric vector indicating the level(s) at which quantiles
should be predicted (only if |

`...` |
currently not used. |

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
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))
)
``` |

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