Description Usage Arguments Value Author(s) References See Also Examples

Extract various types of predictions from BinaryEPPM regression models.

1 2 3 4 5 |

`object` |
fitted model object of class "BinaryEPPM". |

`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 responses ("response"), linear predictors ("linear.predictor.p", "linear.predictor.scale.factor"), fitted value of probability of success ("p"), fitted value of scale-factor ("scale.factor"), fitted value of mean ("mean"), scale factor limits ("scale.factor.limits"), fitted value of variance ("variance"), fitted probability distribution ("distribution"), parameters of fitted distributions ("distribution.parameters") |

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

`...` |
some methods for this generic function require additional arguments. |

A vector or list of the predicted values from the fitted model object.

David M. Smith <smithdm1@us.ibm.com>

Cribari-Neto F, Zeileis A. (2010). Beta Regression in R.
*Journal of Statistical Software*, **34**(2), 1-24. doi: 10.18637/jss.v034.i02.

1 2 3 4 5 6 | ```
data("ropespores.case")
output.fn <- BinaryEPPM(data = ropespores.case,
number.spores / number.tested ~ 1 + offset(logdilution),
model.type = 'p only', model.name = 'binomial')
predict(output.fn, type = "response")
predict(output.fn, type = "linear.predictor.p")
``` |

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