Package: EasyABC
Type: Package
Title: Efficient Approximate Bayesian Computation Sampling Schemes
Version: 1.5
Date: 2015-06-30
Author: Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert.
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, tensorA
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: 435
Repository/R-Forge/DateTimeStamp: 2015-08-31 13:27:50
Date/Publication: 2015-09-02 01:45:06
NeedsCompilation: yes
Packaged: 2015-08-31 13:50:11 UTC; rforge
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 07:26:02 UTC; windows
Archs: i386, x64
