Perform Bayesian Cost-Effectiveness Analysis in R.
🚀 Version 2.4.1 out now! Check out the release notes here.
Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the “reference”) to the others (“comparators”).
Main features of
- Cost-effectiveness analysis plots, such as CE planes and CEAC
- Summary statistics and tables
- EVPPI calculations and plots
Install the released version from CRAN with
The development version can be installed using this GitHub repository. On Windows machines, you need to install a few dependencies, including Rtools first, e.g. by running
pkgs <- c("MASS", "Rtools", "remotes") repos <- c("https://cran.rstudio.com", "https://inla.r-inla-download.org/R/stable/") install.packages(pkgs, repos=repos, dependencies = "Depends")
before installing the package using
Under Linux or MacOS, it is sufficient to install the package via
install.packages("remotes") remotes::install_github("giabaio/BCEA", ref="dev")
Examples of using specific functions and their different arguments are given in these articles:
pkgdown site is here. More details on
BCEA are available in our book Bayesian Cost-Effectiveness Analysis with the R Package BCEA (published in the UseR! Springer series). Also, details about the package, including some references and links to a pdf presentation and some posts on my own blog) are given here.
Please submit contributions through
Pull Requests, following the contributing guidelines. To report issues and/or seek support, please file a new ticket in the issue tracker.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.