hesim

A modular and computationally efficient R package for parameterizing, simulating, and analyzing health economic simulation models. The package supports cohort discrete time state transition models (Briggs et al. 1998) doi:10.2165/00019053-199813040-00003, N-state partitioned survival models (Glasziou et al. 1990) doi:10.1002/sim.4780091106, and individual-level continuous time state transition models (Siebert et al. 2012) doi:10.1016/j.jval.2012.06.014, encompassing both Markov (time-homogeneous and time-inhomogeneous) and semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is quantified with standard graphical and tabular summaries of a probabilistic sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) doi:10.1002/hec.985, doi:10.1111/j.1524-4733.2008.00358.x. Use of C++ and data.table make individual-patient simulation, probabilistic sensitivity analysis, and incorporation of patient heterogeneity fast.