Cox	Shared	Nested	Additive	Joint standard (Bivariate: 1 RE + 1 TE)	Joint cluster (Bivariate: 1 RE + 1 TE)	Joint general (Bivariate: 1 RE + 1 TE)	Joint nested (Bivariate: 1 RE + 1 TE)	Joint longitudinal (Bivariate: 1 LO + 1 TE)	Joint trivariate (Trivariate: 1 LO + 1 RE + 1 TE)	Joint non linear trivariate (Trivariate: 1 LO + 1 RE + 1 TE)	Joint Multivariate (Trivariate: 2 RE + 1 TE)	Joint surrogate (Bivariate: 2 TE)
Available options
Gamma distribution
Log-Normal distribution
Left-truncation
Interval Censoring
Two strata
More strata (max=6)
Time-dependant covariates
Calendar timescale
Weibull
Piecewise
Available output
Predicted frailties
Variances of the frailties
Martingale residuals
Prediction methods
Marginal prediction of a terminal event
Conditional prediction of a terminal event
Marginal prediction of a new recurrent event
Conditional prediction of a new recurrent event
Model evaluation
Cmeasures
Epoce
Model structure
STE
Prediction of treatment effects
Statistical model
Mechanistic model (ODE)

Table 1: Package characteristics. Blue cross is for option available for a given type of model in the package on CRAN, orange cross is for option included in the package but not on CRAN yet. Empty cells mean that an option is not available for a given type of model (either not coded yet or simply not applicable). RE = Recurrent Event; TE = Terminal Event; LO = Longitudinal Outcome; STE = Surrogate threshold effect; ODE = Ordinary Differential Equation.

Reference

Agnieszka Król, Audrey Mauguen, Yassin Mazroui, Alexandre Laurent, Stefan Michiels, Virginie Rondeau (2017), Tutorial in Joint Modeling and Prediction: A Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event. Journal of Statistical Software, 81.