predict.classic.wordscores: Predict New Document Positions

In austin: A package for doing things with words

Description

Predicts positions of new documents from a fitted Wordscores model

Usage

## S3 method for class 'classic.wordscores'
predict(object, newdata=NULL, rescale=c('lbg', 'none'), z=.95, ...)

Arguments

object	Fitted wordscores model
newdata	An object of class wfm in which to look for word counts to predict document ideal points. If omitted, the reference documents are used.
rescale	Rescale method for estimated positions.
z	Notional confidence interval coverage
...	further arguments (quietly ignored)

Details

This is the method described in Laver et al. 2003, including rescaling for more than one virgin text. Confidence intervals are not provided if rescale is 'none'.

Value

predict.wordscores produces a vector of predicted document positions and standard errors and confidence intervals.

Author(s)

Will Lowe

See Also

classic.wordscores

austin documentation built on May 2, 2019, 5:48 p.m.