swMATH ID: 35582
Software Authors: Devin Incerti; Jeroen P. Jansen
Description: R package 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.
Homepage: https://cran.r-project.org/web/packages/hesim/index.html
Source Code:  https://github.com/cran/hesim
Dependencies: R
Related Software: heemod; R; BCEA; rjags; ggplot2; dampack; BCEAweb; TreeAge; SAS; Stata; shinystan; INLA; JAGS; flexsurv; rms; DigitizeIt; R-INLA; Excel; survHE
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