EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes
Version 1.5.99

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.
Date of publication2016-06-24 13:51:22
MaintainerNicolas Dumoulin <nicolas.dumoulin@irstea.fr>
LicenseGPL-3
Version1.5.99
URL http://easyabc.r-forge.r-project.org/
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("EasyABC", repos="http://R-Forge.R-project.org")

Try the EasyABC package in your browser

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

EasyABC documentation built on May 31, 2017, 3:10 a.m.