Returns the observation-specific posterior probabilities for the given data. The default implementation returns a uniform probability matrix.
# S4 method for lcModel
predictPostprob(object, newdata = NULL, ...)The lcModel to predict the posterior probabilities with.
Optional data frame for which to compute the posterior probability. If omitted, the model training data is used.
Additional arguments.
A N-by-K matrix indicating the posterior probability per trajectory per measurement on each row, for each cluster (the columns).
Here, N = nrow(newdata) and K = nClusters(object).
Classes extending lcModel should override this method to enable posterior probability predictions for new data.
setMethod("predictPostprob", "lcModelExt", function(object, newdata = NULL, ...) {
# return observation-specific posterior probability matrix
})
Other model-specific methods:
clusterTrajectories(),
coef.lcModel(),
converged(),
deviance.lcModel(),
df.residual.lcModel(),
fitted.lcModel(),
fittedTrajectories(),
lcModel-class,
logLik.lcModel(),
model.frame.lcModel(),
nobs.lcModel(),
postprob(),
predict.lcModel(),
predictAssignments(),
predictForCluster(),
residuals.lcModel(),
sigma.lcModel(),
time.lcModel()