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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.
Getting started
Browse package contents
Package details |
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| Author | Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert. |
| Maintainer | Nicolas Dumoulin <nicolas.dumoulin@inrae.fr> |
| License | GPL-3 |
| Version | 1.5.1 |
| URL | http://easyabc.r-forge.r-project.org/ |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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