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
wordfish
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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