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.
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")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...).
Learning heemod
To get started read the intro vignette (or vignette("introduction", package = "heemod")).
Specific analysis examples (mostly inspired from Decision Modelling for Health Economic Evaluation) can be found in the following vignettes:
- Homogeneous Markov model (or
vignette("homogeneous", package = "heemod")). - Non-homogeneous Markov model (or
vignette("non-homogeneous", package = "heemod")). - Probabilistic uncertainty analysis in
vignette("probabilistic", package = "heemod"). - Deterministic sensitivity analysis in
vignette("sensitivity", package = "heemod"). - See vignette
vignette("reproduction", package = "heemod")for an exact reproduction of the analyses from the book.
Future developments
Upcoming vignettes:
- Heterogeneity analysis in
vignette("heterogeneity", package = "heemod").