Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.

Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).

Provides model fitting, prediction, and plotting for joint models of longitudinal and multiple time-to-event data, including methods from Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival and longitudinal data in clinical research.

Provides analysis tools for big data where the sample size is very large. It offers
             a suite of functions for fitting and predicting joint models, which allow for the simultaneous
             analysis of longitudinal and time-to-event data. This statistical methodology is particularly 
             useful in medical research where there is often interest in understanding the relationship 
             between a longitudinal biomarker and a clinical outcome, such as survival or disease progression.
             This can be particularly useful in a clinical setting where it is important to be able to predict 
             how a patient's health status may change over time. Overall, this package provides a 
             comprehensive set of tools for joint modeling of BIG data obtained as survival and 
             longitudinal outcomes with both Bayesian and non-Bayesian approaches. Its versatility
             and flexibility make it a valuable resource for researchers in many different fields,
             particularly in the medical and health sciences.

Fit joint mean-covariance models for longitudinal data. The models
    and their components are represented using S4 classes and methods. The core
    computational algorithms are implemented using the 'Armadillo' C++ library
    for numerical linear algebra and 'RcppArmadillo' glue.