Joint Latent Class Trees for Joint Modeling of Time-to-Event and Longitudinal Data
Computes the likelihood ratio test statistic.
Computes the test statistic at the current node.
Computes the Wald test statistic.
Fits Joint Latent Class Tree (JLCT) model.
Sets the control parameters for jlctree.
Fits Joint Latent Class Tree (JLCT) model.
Prunes an rpart tree to have the desired number of nodes.
Defines the evaluation function for a new splitting method of rpart.
Defines the initialization function for a new splitting method of `rpa...
Defines the splitting function for a new splitting method of rpart.
Implements the tree-based approach to joint modeling of time-to-event and longitudinal data. This approach looks for a tree-based partitioning such that within each estimated latent class defined by a terminal node, the time-to-event and longitudinal responses display a lack of association. See Zhang and Simonoff (2018) <arXiv:1812.01774>.