Predicts positions of new documents from a fitted Wordscores model
# S3 method for classic.wordscores predict(object, newdata = NULL, rescale = c("lbg", "none"), z = 0.95, ...)
| 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) |
predict.wordscores produces a vector of predicted document
positions and standard errors and confidence intervals.
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'.
Will Lowe