Package: EasyABC
Type: Package
Title: EasyABC: performing efficient approximate Bayesian computation
        sampling schemes
Version: 1.3.1
Date: 2014-04-02
Author: Franck Jabot, Thierry Faure, Nicolas Dumoullin
Maintainer: Nicolas Dumoulin <nicolas.dumoulin@irstea.fr>
URL: http://easyabc.r-forge.r-project.org/
Depends: R (>= 2.14.0), abc
Imports: pls, mnormt, MASS, parallel, lhs
Description: The package EasyABC enables to launch 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. Four sequential sampling schemes and three coupled-to-MCMC schemes are implemented.
License: GPL-3
LazyLoad: yes
SVN-Revision: $Rev$
Repository: CRAN
Repository/R-Forge/Project: easyabc
Repository/R-Forge/Revision: 382
Repository/R-Forge/DateTimeStamp: 2014-04-03 07:29:58
Date/Publication: 2014-04-04 17:34:31
Packaged: 2014-04-03 14:26:04 UTC; rforge
NeedsCompilation: yes
