{ "_id": "6a1f1837b401979e7341eca6", "Package": "hesim", "Type": "Package", "Title": "Health Economic Simulation Modeling and Decision Analysis", "Version": "0.5.8", "Authors@R": "c(\nperson(\"Devin\", \"Incerti\", , \"devin.incerti@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Jeroen P.\", \"Jansen\", role = \"aut\"),\nperson(\"Mark\", \"Clements\", role = \"aut\"),\nperson(given = \"R Core Team\", role = \"ctb\",\ncomment=\"hesim uses some slightly modified C functions from base R\")\n)", "Description": "A modular and computationally efficient R package for\nparameterizing, simulating, and analyzing health economic\nsimulation models. The package supports cohort discrete time\nstate transition models (Briggs et al. 1998)\n, N-state partitioned\nsurvival models (Glasziou et al. 1990)\n, and individual-level continuous\ntime state transition models (Siebert et al. 2012)\n, encompassing both Markov\n(time-homogeneous and time-inhomogeneous) and semi-Markov\nprocesses. Decision uncertainty from a cost-effectiveness\nanalysis is quantified with standard graphical and tabular\nsummaries of a probabilistic sensitivity analysis (Claxton et\nal. 2005, Barton et al. 2008) ,\n. Use of C++ and\ndata.table make individual-patient simulation, probabilistic\nsensitivity analysis, and incorporation of patient\nheterogeneity fast.", "URL": "https://hesim-dev.github.io/hesim/,\nhttps://github.com/hesim-dev/hesim", "BugReports": "https://github.com/hesim-dev/hesim/issues", "License": "GPL-3", "LazyData": "true", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://hesim-dev.r-universe.dev", "Date/Publication": "2026-01-16 23:41:05 UTC", "RemoteUrl": "https://github.com/hesim-dev/hesim", "RemoteRef": "HEAD", "RemoteSha": "676630b6247c8fedec5deed8f23a157e722b392c", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-17 05:47:14 UTC", "User": "root" }, "Author": "Devin Incerti [aut, cre],\nJeroen P. 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