lcModel posterior probability prediction
lcModel posterior probability prediction
## S4 method for signature 'lcModel' predictPostprob(object, newdata = NULL, ...)
object |
The |
newdata |
Optional data frame for which to compute the posterior probability. If omitted, the model training data is used. |
... |
Additional arguments. |
The default implementation returns a uniform probability matrix.
A matrix indicating the posterior probability per trajectory per measurement on each row, for each cluster (the columns).
Other model-specific methods:
clusterTrajectories(),
coef.lcModel(),
converged(),
deviance.lcModel(),
df.residual.lcModel(),
fitted.lcModel(),
lcModel-class,
logLik.lcModel(),
model.frame.lcModel(),
nobs.lcModel(),
postprob(),
predict.lcModel(),
predictAssignments(),
predictForCluster(),
residuals.lcModel(),
sigma.lcModel(),
time.lcModel(),
trajectories()
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