hesim: Health Economic Simulation Modeling and Decision Analysis

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.

Package details

AuthorDevin Incerti [aut, cre], Jeroen P. Jansen [aut], R Core Team [ctb] (hesim uses some slightly modified C functions from base R)
MaintainerDevin Incerti <devin.incerti@gmail.com>
LicenseGPL-3
Version0.5.0
URL https://hesim-dev.github.io/hesim/ https://github.com/hesim-dev/hesim
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hesim")

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hesim documentation built on Feb. 18, 2021, 1:08 a.m.