Package: EasyABC
Title: Efficient Approximate Bayesian Computation Sampling Schemes
Version: 1.6
Authors@R: c(person(given = "Franck",
                        family = "Jabot",
                        role = "aut",
                        email = "franck.jabot@inrae.fr"),
                 person(given = "Nicolas",
                        family = "Dumoulin",
                        role = c("aut", "cre"),
                        email = "nicolas.dumoulin@inrae.fr"),
                 person(given = "Thierry",
                        family = "Faure",
                        role = "aut",
                        email = "thierry.faure@inrae.fr"),
                 person(given = "Carlo",
                        family = "Albert.",
                        role = "aut"))
URL: https://lisc.pages-forge.inrae.fr/easyabc/
Depends: R (>= 2.14.0), abc
LinkingTo: Rcpp
Imports: Rcpp, 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
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-17 17:23:07 UTC; root
Author: Franck Jabot [aut],
  Nicolas Dumoulin [aut, cre],
  Thierry Faure [aut],
  Carlo Albert. [aut]
Maintainer: Nicolas Dumoulin <nicolas.dumoulin@inrae.fr>
Repository: CRAN
Date/Publication: 2025-12-18 16:50:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-01-12 20:46:40 UTC; windows
Archs: x64
