generate a matrix of link probabilities based on the fitted VB model.
## S3 method for class 'vblpcm'predict(object,...)
Arguments
object: The fitted values; output from vblpcmfit()
...: optional additional arguments.
Returns
The posterior predictive link probabilities given the fitted object
Author(s)
Michael Salter-Townshend
Examples
data(sampson)v.fit<-vblpcmfit(vblpcmstart(samplike,G=3))### create a matrix of link posterior probabilities given the fitted modelprobs<-predict.vblpcm(v.fit)# show this graphically; separation of the boxes implies a good fit to the databoxplot(split(probs,v.fit$Y), ylab=expression(paste("P(",Y[i][j],"=1)")),xlab=expression(paste(Y[i][j])))