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