EasyABC: 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@inrae.fr>
URL http://easyabc.r-forge.r-project.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the EasyABC package in your browser

Any scripts or data that you put into this service are public.

EasyABC documentation built on Jan. 6, 2023, 1:14 a.m.