longclust interface
# S4 method for lcMethodLongclust
getArgumentDefaults(object)# S4 method for lcMethodLongclust
getArgumentExclusions(object)
# S4 method for lcMethodLongclust
getName(object)
# S4 method for lcMethodLongclust
getShortName(object)
# S4 method for lcMethodLongclust
fit(method, data, envir, verbose, ...)
# S4 method for lcModelLongclust
clusterTrajectories(object, at = time(object), ...)
# S4 method for lcModelLongclust
postprob(object, ...)
# S4 method for lcModelLongclust
converged(object, ...)
# S3 method for lcModelLongclust
logLik(object, ...)
# S3 method for lcModelLongclust
BIC(object, ...)
The lcMethod or lcModel object.
An object inheriting from lcMethod with all its arguments having been evaluated and finalized.
A data.frame representing the transformed training data.
The environment containing variables generated by prepareData() and preFit().
A R.utils::Verbose object indicating the level of verbosity.
Additional arguments.
An optional vector of the times at which to compute the cluster trajectory predictions.