pscl (version 0.5)

predprob.ideal: predicted probabilities from fitting ideal to rollcall data

Description

Computes predicted probabilities of a Yea vote conditional on the posterior means of the legislators' ideal points and vote-specific parameters.

Usage

## S3 method for class 'ideal':
predprob(obj, ...)

Arguments

obj

An object of class ideal

...

Arguments to be passed to other functions

Value

• A matrix of dimension n (number of legislators) by m (number of roll call votes).

Details

This is a wrapper function to predict.ideal, extracting just the predicted probabilities component of the object returned by that function. Predicted probabilities can and are generated for each voting decision, irrespective of whether the legislator actually voted on any particular roll call.

See Also

ideal, predprob, predict.ideal

Examples

data(s109)
id1 <- ideal(s109,
             d=1,
             meanzero=TRUE,
             store.item=TRUE,
             maxiter=1000,
             burnin=100,
             thin=10)  
phat <- predprob(id1)
dim(phat)