christbald/EasyABCPar: Efficient Approximate Bayesian Computation Sampling Schemes

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.

Package details

AuthorFranck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert.
MaintainerNicolas Dumoulin <nicolas.dumoulin@irstea.fr>
LicenseGPL-3
Version1.62
URL http://easyabc.r-forge.r-project.org/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("christbald/EasyABCPar")
christbald/EasyABCPar documentation built on May 13, 2019, 6:56 p.m.