This function updates the longitudinal submodels of a mpjlcmm object by injecting the estimated parameters and their variances in each hlme/lcmm/multlcmm model used to define the multi-process joint model. The same (uni-process) models as specified in the mpjlcmm call are returned, with updated outputs for best, V, conv, cholesky, pred, predRE, predRE_Y, pprob. All postfit functions (plots, predictions, ...) can then be called on the updated hlme/lcmm/multlcmm models. See mpjlcmm's help page for examples.
Usage
# S3 method for mpjlcmm
update(object, ...)