EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes (original) (raw)
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.
| Version: | 1.5.2 |
|---|---|
| Depends: | R (≥ 2.14.0), abc |
| Imports: | pls, mnormt, MASS, parallel, lhs, tensorA |
| Published: | 2023-01-05 |
| DOI: | 10.32614/CRAN.package.EasyABC |
| Author: | Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert. |
| Maintainer: | Nicolas Dumoulin <nicolas.dumoulin at inrae.fr> |
| License: | GPL-3 |
| URL: | http://easyabc.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | EasyABC results |
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