kml interface
# S4 method for lcMethodKML
getArgumentDefaults(object)# S4 method for lcMethodKML
getArgumentExclusions(object)
# S4 method for lcMethodKML
getCitation(object, ...)
# S4 method for lcMethodKML
getName(object)
# S4 method for lcMethodKML
getShortName(object)
# S4 method for lcMethodKML
preFit(method, data, envir, verbose, ...)
# S4 method for lcMethodKML
fit(method, data, envir, verbose, ...)
# S4 method for lcModelKML
clusterTrajectories(object, at = time(object), ...)
# S4 method for lcModelKML
converged(object)
# S3 method for lcModelKML
logLik(object, ...)
# S4 method for lcModelKML
postprob(object)
# S4 method for lcModelKML
predictPostprob(object, newdata = NULL, ...)
The model.
Not used.
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 additional data variables returned by prepareData().
A R.utils::Verbose object indicating the level of verbosity.
A numeric vector of the times at which to compute the cluster trajectories.
Optional data.frame for which to compute the posterior probability. If omitted, the model training data is used.
lcMethodKML kml