heemod - Health Economic Evaluation MODelling
heemod is an R toolset for health economic evaluation modelling. It aims to provide a simple and consistent interface for Markov models specification and comparison. Non-homogeneous Markov models (with time varying properties) are supported.
Most of the analyses presented in Decision Modelling for Health Economic Evaluation can be performed with heemod. See vignette("reproduction", "heemod") for an exact reproduction of the analyses from the book.
This package is still a beta version.
You can install:
- the latest released version from CRAN with:
install.packages("heemod")- the latest development version from github with:
devtools::install_github("pierucci/heemod@devel")Main features
- Graphical user interface with
shiny. - Time-varying transition probabilities.
- Time-varying values attached to states.
- Heterogeneity analysis.
- Probabilistic uncertainty analysis.
- Deterministic sensitivity analysis.
- Multiple state membership correction methods (life-table, half-cycle...).
- Demographic analysis to compute population-level results.
- Heterogeneity analysis.
Learning heemod
To get started read the introduction in vignette("introduction", "heemod").
Specific analysis examples (mostly inspired from Decision Modelling for Health Economic Evaluation) can be found in the following vignettes:
- Homogeneous Markov model in
vignette("homogeneous", "heemod"). - Non-homogeneous Markov model in
vignette("non-homogeneous", "heemod"). - Probabilistic uncertainty analysis in
vignette("probabilistic", "heemod"). - Deterministic sensitivity analysis in
vignette("sensitivity", "heemod"). - Heterogeneity & Demographic analysis in
vignette("heterogeneity", "heemod").
Devs
Kevin Zarca and Antoine Filipović-Pierucci.