曾经需要，发现站内有人发布，无奈价格奇高（>1000）不得已另觅他处。而今饮水思源，与诸君同享。
my daily work involves analysis based on survial models and longitudinal models, and joint models can be considered as an extension and mixture of these two types of data analysis.
All related R codes could be found here:
http://***************** (link can be found in attachment)

Abstract cited from Joint Modeling of Longitudinal and Time-to-Event Data: An Overview

A common objective in longitudinal studies is to characterize the relationship between a longitudinal response process and a time-to-event. Considerable recent interest has focused on so-called joint models, where models for the event time distribution and longitudinal data are taken to depend on a common set of latent random effects. In the literature, precise statement of the underlying assumptions typically made for these models has been rare. We review the rationale for and development of joint models, other insight into the structure of the likelihood for model parameters that clarifies the nature of common assumptions, and describe and contrast some of our recent proposals for implementation and inference.