Overview | Treatment strategies, target population, and model structure | Parameterization | Disease progression | Costs and utility | Simulation | Constructing an economic model | Disease model | Cost and utility models | Combining the disease progression, cost, and utility models | Simulating outcomes | Decision analysis | Next steps
Package: hesim 0.5.8
Devin Incerti
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.
Authors:
hesim_0.5.8.tar.gz
hesim_0.5.8.zip(r-4.7)hesim_0.5.8.zip(r-4.6)hesim_0.5.8.zip(r-4.5)
hesim_0.5.8.tgz(r-4.6-x86_64)hesim_0.5.8.tgz(r-4.6-arm64)hesim_0.5.8.tgz(r-4.5-x86_64)hesim_0.5.8.tgz(r-4.5-arm64)
hesim_0.5.8.tar.gz(r-4.7-arm64)hesim_0.5.8.tar.gz(r-4.7-x86_64)hesim_0.5.8.tar.gz(r-4.6-arm64)hesim_0.5.8.tar.gz(r-4.6-x86_64)
hesim_0.5.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
hesim/json (API)
| # Install 'hesim' in R: |
| install.packages('hesim', repos = c('https://hesim-dev.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hesim-dev/hesim/issues
Pkgdown/docs site:https://hesim-dev.github.io
Datasets:
- mstate3_exdata - Example data for a reversible 3-state multi-state model
- multinom3_exdata - Example data for a 3-state multinomial model
- onc3 - Multi-state oncology data for 3-state model
- onc3p - Multi-state panel oncology data for 3-state model
- psm4_exdata - Example data for a 4-state partitioned survival model
health-economic-evaluationmicrosimulationsimulation-modelingcpp
Last updated from:676630b624. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 299 | ||
| linux-devel-x86_64 | OK | 295 | ||
| source / vignettes | OK | 510 | ||
| linux-release-arm64 | OK | 286 | ||
| linux-release-x86_64 | OK | 286 | ||
| macos-release-arm64 | OK | 247 | ||
| macos-release-x86_64 | OK | 475 | ||
| macos-oldrel-arm64 | OK | 316 | ||
| macos-oldrel-x86_64 | OK | 416 | ||
| windows-devel | OK | 348 | ||
| windows-release | OK | 393 | ||
| windows-oldrel | OK | 323 | ||
| wasm-release | OK | 228 |
Exports:apply_rras_array3as_pfs_osas_tbl2as.data.tableautoplotceacea_pwCohortDtstmCohortDtstmTranscreate_CohortDtstmcreate_CohortDtstmTranscreate_IndivCtstmTranscreate_input_matscreate_lines_dtcreate_paramscreate_PsmCurvescreate_StateValscreate_trans_dtCtstmTransdefine_modeldefine_rngdefine_tparamsdweibullNMAeval_modeleval_rngexpandexpmatfast_rgengammaflexsurvreg_listformula_listget_labelshesim_datahesim_survdistshweibullNMAHweibullNMAiceaicea_pwicericer_tblid_attributesincr_effectIndivCtstmIndivCtstmTransinput_matslm_listmean_weibullNMAmom_betamom_gammamultinom_listparams_lmparams_mlogitparams_mlogit_listparams_survparams_surv_listpartsurvfitplot_ceacplot_ceafplot_ceplaneplot_evpiPsmPsmCurvespweibullNMAqmatrixqweibullNMArcatrdirichlet_matrmst_weibullNMArpwexprweibullNMAset_labelssim_costssim_evsim_qalyssim_stateprobsstateval_tblStateValssurv_quantilesurvivaltime_intervalstparams_meantparams_transprobstpmatrixtpmatrix_idtpmatrix_names
Dependencies:assertthatbbmlebdsmatrixclicpp11data.tabledeSolvedplyrexpmfarverfastGHQuadflexsurvgenericsggplot2gluegtableisobandlabelinglatticelifecyclelsodamagrittrMASSMatrixmgcvmsmmstatemuhazmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Introduction to hesim
Last update: 2025-10-06
Started: 2018-05-19
Time inhomogeneous Markov cohort models
Overview | Model setup | Model parameters | Estimates from the literature | Transition probabilities | Utility | Costs | Combining all parameters | Random number generation | Transformed parameters | Simulation | Constructing the economic model | Simulating outcomes | Health state probabilities | Costs and QALYs | Decision analysis | Subgroup analysis | Overall | Appendix | Transition probabilities from a Weibull survival model | Direct construction of transition matrices | Input data
Last update: 2025-10-06
Started: 2020-09-17
Time inhomogeneous Markov individual-level models
Overview | Model setup | Parameters | Transitions | Estimates from literature | Transition 1 | Transition 2 | Transition 3 | Transition 4 | Transition 5 | Transition 6 | Transition 7 | Transition 8 | Multi-state model | Utility and costs | Simulation | Constructing the model | Disease model | Cost and utility models | Combining the models | Simulating outcomes | Disease progression | Costs and QALYs | Decision analysis
Last update: 2022-03-30
Started: 2020-09-17
Markov and semi-Markov multi-state models
Overview | An example 3-state model | Parameter estimation | Multi-state model | Utility and costs | Simulation | Constructing the economic model | Disease model | Utility and cost models | Combining the disease progression, cost, and utility models | Simulating outcomes | Disease progression | Costs and QALYs | Decision analysis
Last update: 2021-07-25
Started: 2020-03-09
Markov models with multinomial logistic regression
Overview | An example 3-state model | Parameter estimation | Multinomial logit model for transition probabilities | Utility and costs | Simulation | Constructing the economic model | Disease model | Utility and cost models | Combining the disease progression, cost, and utility models | Simulating outcomes | Disease progression | Costs and QALYs | Decision analysis
Last update: 2021-07-09
Started: 2020-02-29
Partitioned survival models
Overview | An example 4-state PSM | Parameter estimation | Survival models | Utility and cost models | Simulation | Constructing the economic model | Combining the statistical models | Simulating outcomes | Simulating survival curves | Simulating health state probabilities | Simulating costs and QALYs | Decision analysis
Last update: 2021-03-06
Started: 2018-07-30
Simple Markov cohort model
Overview | Model setup | Model parameters | Estimates from the literature | Random number generation | Transformed parameters | Simulation | Constructing the economic model | Simulating outcomes | Health state probabilities | Costs and QALYs | Decision analysis | Appendix: Dirichlet distribution
Last update: 2021-02-15
Started: 2020-09-17
Cost-effectiveness analysis
Overview | Framework | Probabilistic sensitivity analysis | Decision analysis | Incremental cost-effectiveness ratio (ICER) | Cost-effectiveness plane | Cost-effectiveness acceptability curves (CEAC) | Simultaneous comparison | Pairwise comparison | Cost-effectiveness acceptability frontier (CEAF) | Value of perfect information | Value of individualized care | References
Last update: 2021-02-15
Started: 2020-09-17
