Predicts positions of new documents using a fitted Wordfish model

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`object` |
A fitted wordfish model |

`newdata` |
An optional data frame or object of class wfm in which to look for word counts to predict document ideal points which to predict. If omitted, the fitted values are used. |

`se.fit` |
A switch indicating if standard errors are required. |

`interval` |
Type of interval calculation |

`level` |
Tolerance/confidence level |

`...` |
further arguments passed to or from other methods. |

Standard errors for document positions are generated by numerically inverting the relevant Hessians from the profile likelihood of the multinomial form of the model.

`predict.wordfish`

produces a vector of predictions or a matrix of
predictions and bounds with column names ‘fit’ and ‘se.fit’, and
with ‘lwr’, and ‘upr’ if ‘interval’ is also set.

Will Lowe

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