Try it now! > install.packages("EasyABC")
About EasyABC
The package EasyABC enables to perform efficient approximate bayesian computation (ABC) sampling schemes by launching a series of simulations of a computer code from the R platform, and to retrieve the simulation outputs in an appropriate format for post-processing treatments.
Package maintainer: Nicolas Dumoulin
Developers: Franck Jabot, Thierry Faure, Nicolas Dumoulin
Development of EasyABC has been supported by the Irstea project DynIndic and by the French National Research Agency (ANR) within the SYSCOMM project DISCO (ANR-09-SYSC-003).
Thanks to R-Forge for hosting the project. 
News
- 09/22/2022 EasyABC 1.5.1 released. Changelog
- 09/03/2015 EasyABC 1.5 is now available on CRAN. Changelog
- 01/07/2015 Mailing-list creation: suscribe
- 12/17/2014 EasyABC 1.4 released
- 04/05/2014 EasyABC 1.3.1 released
- 02/27/2014 EasyABC 1.3 released
- 04/09/2013 "EasyABC: performing efficient approximate Bayesian computation sampling schemes using R" published on Methods & Statistics in Ecology.
- 06/04/2013 EasyABC 1.2.2 released
- 05/17/2013 EasyABC 1.2.1 released
- 02/27/2013 EasyABC 1.2 released
- 01/29/2013 EasyABC 1.1 released
- 11/20/2012 EasyABC 1.0 released
- 11/13/2012 EasyABC is now hosted on R-Forge.
- 11/06/2012 First commit of EasyABC
Current features
- Launching of computer simulations to perform sequential or coupled-to-MCMC sampling schemes for Approximate Bayesian Computation.
- EasyABC currently implements five sequential algorithms:
- Beaumont et al. Biometrika (2009)
- Drovandi & Pettit Biometrics (2011)
- Del Moral et al. Statistics and Computing (2012)
- Lenormand et al. ArXiv (2012)
- Jabot et al. ArXiv (2015)
- EasyABC also implements three coupled-to-MCMC schemes:
- Marjoram et al. Pnas (2003)
- Wegmann et al. Genetics (2009)
- A mix of Marjoram and Wegmann's algorithms (Marjoram with calibration step – Wegmann without PLS)
- EasyABC additionally enables to launch computer simulations in parallel on multiple cores of a multi-core computer.
- EasyABC also contains two R wrappers for binary codes to ease their launching from the R platform.
Installation
Version 1.5 is available on CRAN. Simply type install.packages("EasyABC") from within R.
You can also download and install manually archive (GNU/Linux − Windows − Mac OS) with the command install.packages("EasyABCtest_1.5.tar.gz", repos=NULL, type="source")
You can also install the last development version from r-forge with this command install.packages("EasyABC", repos="http://R-Forge.R-project.org")
Help and Documentation
There is a package vignette with more information about EasyABC. Simply type vignette("EasyABC") to view within R.
If you have problems or questions about the code, please read the function documentation (help(EasyABC)).
You can also join our mailing-list: suscribe here.
Release history
- Version 1.5.1 released on 09/22/2015.
- Version 1.5 released on 09/03/2015.
- Version 1.4 released on 12/17/2014.
- Version 1.3.1 released on 04/05/2014.
- Version 1.3 released on 02/27/2014.
- Version 1.2.2 released on 06/04/2013.
- Version 1.2.1 released on 05/17/2013.
- Version 1.2 released on 02/27/2013.
- Version 1.1 released on 01/29/2013.
- Version 1.0 released on 11/20/2012.