A trekking in the parameter likehood landscape of complex models

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. R-Forge Logo


Current features


Version 1.5 is available on CRAN. Simply type install.packages("EasyABC") from within R.

You can also download and install manually archive (GNU/LinuxWindowsMac 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.

ChangelogOld versions archives