mclust interface
# S4 method for lcMethodMclustLLPA
getArgumentDefaults(object)# S4 method for lcMethodMclustLLPA
getArgumentExclusions(object)
# S4 method for lcMethodMclustLLPA
getCitation(object, ...)
# S4 method for lcMethodMclustLLPA
getName(object)
# S4 method for lcMethodMclustLLPA
getShortName(object)
# S4 method for lcMethodMclustLLPA
prepareData(method, data, verbose, ...)
# S4 method for lcMethodMclustLLPA
compose(method, envir = NULL)
# S4 method for lcMethodMclustLLPA
fit(method, data, envir, verbose, ...)
# S4 method for lcModelMclustLLPA
clusterTrajectories(object, at = time(object), ...)
# S4 method for lcModelMclustLLPA
postprob(object, ...)
# S4 method for lcModelMclustLLPA
predictPostprob(object, newdata = NULL, ...)
# S4 method for lcModelMclustLLPA
converged(object, ...)
The object.
Not used.
An object inheriting from lcMethod
with all its arguments having been evaluated and finalized.
A data.frame
representing the transformed training data.
A R.utils::Verbose object indicating the level of verbosity.
The environment
containing variables generated by prepareData()
and preFit()
.
A numeric vector
of the times at which to compute the cluster trajectories.
A data.frame
of trajectory data for which to compute trajectory assignments.
lcMethodMclustLLPA mclust-package