Perform Bayesian Cost-Effectiveness Analysis in R.
:rocket: Version 2.4.6 in development 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 BCEA include:
Install the released version from CRAN with
The stable version (which can be updated more quickly) 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 remotes:
Under Linux or MacOS, it is sufficient to install the package via remotes:
Examples of using specific functions and their different arguments are given in these articles:
bcea() Parameters: Constructor and SettersThe 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.