# Predict Method for Wordfish

### Description

Predicts positions of new documents using a fitted Wordfish model

### Usage

1 2 3 4 |

### Arguments

`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. |

### Details

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

### Value

`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.

### Author(s)

Will Lowe

### See Also

`wordfish`

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.