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.

Version:	0.5.5
Depends:	R (≥ 3.5.0)
Imports:	data.table, flexsurv, ggplot2, MASS, msm, Rcpp (≥ 0.12.16), R6, stats, survival
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	covr, kableExtra, knitr, magrittr, mstate, nnet, numDeriv, pracma, rmarkdown, scales, testthat, truncnorm
Published:	2024-09-18
DOI:	10.32614/CRAN.package.hesim
Author:	Devin Incerti [aut, cre], Jeroen P. Jansen [aut], Mark Clements [aut], R Core Team [ctb] (hesim uses some slightly modified C functions from base R)
Maintainer:	Devin Incerti <devin.incerti at gmail.com>
BugReports:	https://github.com/hesim-dev/hesim/issues
License:	GPL-3
URL:	https://hesim-dev.github.io/hesim/, https://github.com/hesim-dev/hesim
NeedsCompilation:	yes
Citation:	hesim citation info
Materials:	README
CRAN checks:	hesim results

Documentation:

Reference manual:

hesim.pdf

Vignettes:

Cost-effectiveness analysis (source, R code) Introduction to 'hesim' (source, R code) Simple Markov cohort model (source, R code) Time inhomogeneous Markov cohort models (source, R code) Time inhomogeneous Markov individual-level models (source, R code) Markov models with multinomial logistic regression (source, R code) Markov and semi-Markov multi-state models (source, R code) Partitioned survival models (source, R code)

Downloads:

Package source:	hesim_0.5.5.tar.gz
Windows binaries:	r-devel: hesim_0.5.5.zip, r-release: hesim_0.5.5.zip, r-oldrel: hesim_0.5.5.zip
macOS binaries:	r-release (arm64): hesim_0.5.5.tgz, r-oldrel (arm64): hesim_0.5.5.tgz, r-release (x86_64): hesim_0.5.5.tgz, r-oldrel (x86_64): hesim_0.5.5.tgz
Old sources:	hesim archive

Linking:

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