BCEA: Bayesian cost-effectiveness analysis

Perform Bayesian Cost-Effectiveness Analysis in R.

🚀 Version 2.4.3 out now! Check out the release notes here.

Contents

• Overview
• Features
• Installation
• Articles
• Further details

Overview

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”).

Features

Main features of BCEA include:

• Cost-effectiveness analysis plots, such as CE planes and CEAC
• Summary statistics and tables
• EVPPI calculations and plots

Installation

Install the released version from CRAN with

install.packages("BCEA")

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 remotes:

remotes::install_github("giabaio/BCEA", ref="dev")

Under Linux or MacOS, it is sufficient to install the package via remotes:

install.packages("remotes")
remotes::install_github("giabaio/BCEA", ref="dev")

Articles

Examples of using specific functions and their different arguments are given in these articles:

• Get Started
• Set bcea() Parameters: Constructor and Setters
• Cost-Effectiveness Acceptability Curve Plots
• Cost-Effectiveness Efficiency Frontier
• Risk Aversion Analysis
• Expected Incremental Benefit Plot
• Paired vs Multiple Comparisons

Further details

The 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.

License

Contributing

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.