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 doi:10.2165/00019053-199813040-00003, N-state partitioned survival models doi:10.1002/sim.4780091106, and individual-level continuous time state transition models 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 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.

Last 30 days

This package has been downloaded 489 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 17 times.

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Last 365 days

This package has been downloaded 7,811 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 26, 2024 with 74 downloads.

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