The package offers a comprehensive collection of practical and easy-to-use tools for analyzing recurrent event data, with or without the presence of a (possibly) correlated terminal event. The modeling framework is based on a joint frailty scale-change model, that encompasses many existing models, including the popular Cox-type models, as special cases and accommodates informative censoring through a subject-specific frailty. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package allows the users to specify different model forms for both the recurrent event process and the terminal event. The package also includes tools for visualization of recurrent events and simulation from the regression models.
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Xu, G., Chiou, S.H.,Yan, J., Marr, K., and Huang, C.-Y. (2019). Generalized Scale-Change Models for Recurrent Event Processes under Informative Censoring. Statistica Sinica, 30: 1773--1795.
Useful links:
Maintainer: Sy Han (Steven) Chiou schiou@utdallas.edu
Authors:
Chiung-Yu Huang ChiungYu.Huang@ucsf.edu