Nothing
BCEA: Bayesian Cost Effectiveness Analysis
Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.
Getting started
Package overview
README.md
Contour Plots"
Cost-Effectiveness Acceptability Curve Plots"
Cost-Effectiveness Efficiency Frontier"
Cost-effectiveness plane"
Expected Incremental Benefit Plot"
Getting Started"
Paired vs Multiple Comparisons"
Risk Aversion Analysis"
Set bcea() Parameters: Constructor and Setters"
Browse package contents
Package details |
|
|---|---|
| Author | Gianluca Baio [aut, cre, cph] (<https://orcid.org/0000-0003-4314-2570>), Andrea Berardi [aut] (<https://orcid.org/0000-0002-2906-496X>), Anna Heath [aut] (<https://orcid.org/0000-0002-7263-4251>), Nathan Green [aut] (<https://orcid.org/0000-0003-2745-1736>) |
| Maintainer | Gianluca Baio <g.baio@ucl.ac.uk> |
| License | GPL-3 |
| Version | 2.4.6 |
| URL | https://gianluca.statistica.it/software/bcea/ https://gianluca.statistica.it/ https://github.com/giabaio/BCEA/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the BCEA package in your browser
Any scripts or data that you put into this service are public.
