Package: EasyABC
Type: Package
Title: Efficient Approximate Bayesian Computation Sampling Schemes
Version: 1.4
Date: 2014-12-16
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: Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.
License: GPL-3
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: easyabc
Repository/R-Forge/Revision: 409
Repository/R-Forge/DateTimeStamp: 2014-12-17 08:01:53
Date/Publication: 2014-12-17 10:45:18
Packaged: 2014-12-17 08:05:15 UTC; rforge
NeedsCompilation: yes
Built: R 3.1.2; x86_64-apple-darwin10.8.0; 2014-12-18 13:48:31 UTC; unix
Archs: EasyABC.so.dSYM
