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
Repository: https://r-forge.r-universe.dev
Date/Publication: 2025-01-07 08:57:08 UTC
RemoteUrl: https://github.com/r-forge/easyabc
RemoteRef: HEAD
RemoteSha: 6f724685c8a8d175bc3eb379edb99798f4031fd1
RemoteSubdir: pkg
NeedsCompilation: no
Packaged: 2026-06-20 10:13:39 UTC; root