BCEA

Bayesian Cost Effectiveness Analysis. 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"). Produces many summary and plots to analyse the results

https://github.com/giabaio/bcea

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Bayesian Cost Effectiveness Analysis. 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"). Produces many summary and plots to analyse the results

README.Rmd

---
title: 'BCEA: Bayesian cost-effectiveness analysis '
format: gfm
execute:
  echo: false
  message: false
  warning: false
output: github_document
---

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> Perform Bayesian Cost-Effectiveness Analysis in R.

:rocket: This is the **development version** of the `R` package `BCEA` (currently on version `r packageDescription("BCEA")$Version`). The stable version is now release `r utils::available.packages(filters = "CRAN")["BCEA",2]`, on [CRAN](https://cran.r-project.org/web/packages/BCEA/index.html).

## Contents

- [Overview](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Articles](#articles)
- [Further details](#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](https://cran.r-project.org/package=BCEA) with

```r
install.packages("BCEA")
```

The development version (in this repo, which can be updated more quickly and more often than the stable one) can be installed from `r-universe.dev`, using the following command

```r
install.packages(
  'BCEA', 
  repos = c('https://giabaio.r-universe.dev', 'https://cloud.r-project.org')
)
```

Alternatively, you can intall the development version using `remotes`, with the following command.

```r
install.packages("remotes")
remotes::install_github("giabaio/BCEA")
```

**NB**: On Windows machines, you need to install a few dependencies, including [Rtools](https://cran.r-project.org/bin/windows/Rtools/) first, e.g. by running

```r
pkgs <- c("MASS", "Rtools", "remotes")
repos <- "https://cran.rstudio.com"
install.packages(pkgs, repos = repos, dependencies = "Depends")
```

before installing the package using `remotes`.


## Articles
Examples of using specific functions and their different arguments are given in [these articles](https://n8thangreen.github.io/BCEA/articles/index.html):

-  [Get Started](https://n8thangreen.github.io/BCEA/articles/bcea.html)
-  [Set `bcea()` Parameters: Constructor and Setters](https://n8thangreen.github.io/BCEA/articles/Set_bcea_parameters.html)
-  [Cost-Effectiveness Acceptability Curve Plots](https://n8thangreen.github.io/BCEA/articles/ceac.html)
-  [Cost-Effectiveness Efficiency Frontier](https://n8thangreen.github.io/BCEA/articles/ceef.html)
-  [Risk Aversion Analysis](https://n8thangreen.github.io/BCEA/articles/CEriskav.html)
-  [Expected Incremental Benefit Plot](https://n8thangreen.github.io/BCEA/articles/eib.html)
-  [Paired vs Multiple Comparisons](https://n8thangreen.github.io/BCEA/articles/paired_vs_multiple_comps.html)


## Further details
The `pkgdown` site is [here](https://n8thangreen.github.io/BCEA/).
More details on `BCEA` are available in our book [_Bayesian Cost-Effectiveness Analysis with the R Package BCEA_](https://gianluca.statistica.it/books/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](https://gianluca.statistica.it/software/bcea/).

## License
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

## Contributing
Please submit contributions through `Pull Requests`, following the [contributing guidelines](https://github.com/n8thangreen/BCEA/blob/dev/CONTRIBUTING.md).
To report issues and/or seek support, please file a new ticket in the
[issue](https://github.com/n8thangreen/BCEA/issues) tracker.

Please note that this project is released with a [Contributor Code of Conduct](https://github.com/n8thangreen/BCEA/blob/dev/CONDUCT.md). By participating in this project you agree to abide by its terms.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Baio"
  given-names: "Gianluca"
  orcid: "https://orcid.org/0000-0003-4314-2570"
- family-names: "Berardi"
  given-names: "Andrea"
  orcid: https://orcid.org/0000-0002-2906-496X
- family-names: "Heath"
  given-names: "Anna"
  orcid: https://orcid.org/0000-0002-7263-4251
- family-names: "Green"
  given-names: "Nathan"
  orcid: https://orcid.org/0000-0003-2745-1736
title: "BCEA: Bayesian Cost-Effectiveness Analysis"
version: 2.4.6
doi: 10.1007/978-3-319-55718-2
date-released: 2023-11-20
url: "https://gianluca.statistica.it/software/bcea/"

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