Package: EasyABC
Type: Package
Title: Efficient Approximate Bayesian Computation Sampling Schemes
Version: 1.5.2
Date: 2022-12-15
Author: Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert.
Maintainer: Nicolas Dumoulin <nicolas.dumoulin@inrae.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
NeedsCompilation: no
Packaged: 2022-12-20 11:22:10 UTC; dumoulin
Repository: CRAN
Date/Publication: 2023-01-05 21:51:07 UTC
Built: R 4.2.0; ; 2023-07-11 02:16:40 UTC; unix
