Description Usage Arguments Details Value Author(s) See Also

This function computes predictions based on fitted binary quantile models.

1 2 3 |

`object` |
an |

`newdata` |
an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used. |

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

`type` |
the type of prediction required. See details. |

`grid` |
either a vector of breakpoints or a logical flag. If |

`...` |
not used. |

If `type = "latent"`

(default), the predictions are for the conditional quantiles of the latent response variable; if `type = "probability"`

, the predictions are for the conditional probabilities of the observable response. Note that `type = "probability"`

is possible only when `normalize = "last"`

in `rq.bin`

call. The probabilities are predicted over a `grid`

of values.

a vector or a matrix of predictions.

Marco Geraci

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