mixtvem interface
# S4 method for lcMethodMixTVEM
getName(object)# S4 method for lcMethodMixTVEM
getShortName(object)
# S4 method for lcMethodMixTVEM
preFit(method, data, envir, verbose, ...)
# S4 method for lcMethodMixTVEM
fit(method, data, envir, verbose, ...)
# S3 method for lcModelMixTVEM
predict(object, ..., newdata = NULL, what = "mu")
# S4 method for lcModelMixTVEM
postprob(object, ...)
# S4 method for lcModelMixTVEM
converged(object, ...)
# S3 method for lcModelMixTVEM
logLik(object, ...)
# S3 method for lcModelMixTVEM
sigma(object, ...)
# S3 method for lcModelMixTVEM
coef(object, ...)
The object to extract the label from.
The lcMethod object.
The data, as a data.frame, on which the model will be trained.
The environment in which the lcMethod should be evaluated
A R.utils::Verbose object indicating the level of verbosity.
Additional arguments.
Optional data.frame for which to compute the model predictions. If omitted, the model training data is used.
Cluster trajectory predictions are made when ids are not specified.
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying what = 'mb'.