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