This page presents an overview of the different functions that are available for estimating one or more longitudinal cluster methods. All functions are prefixed by "latrend".
latrend(): estimate a method on a longitudinal dataset, returning the resulting model.
latrendBatch(): estimate multiple methods on multiple longitudinal datasets, returning a list of models.
latrendRep(): repeatedly estimate a method on a longitudinal dataset, returning a list of models.
latrendBoot(): repeatedly estimate a method on bootstrapped longitudinal dataset, returning a list of models.
latrendCV(): repeatedly estimate a method using cross-validation on a longitudinal dataset, returning a list of models.
The functions involving repeated estimation support parallel computation. See here.