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 |
| Depends: | R (≥ 2.14.0), abc |
| Imports: | pls, mnormt, MASS, parallel, lhs, tensorA |
| Published: | 2015-09-02 |
| Author: | Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert. |
| Maintainer: | Nicolas Dumoulin <nicolas.dumoulin at irstea.fr> |
| License: | GPL-3 |
| URL: | http://easyabc.r-forge.r-project.org/ |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | EasyABC results |
| Reference manual: | EasyABC.pdf |
| Vignettes: |
EasyABC: a R package to perform efficient approximate Bayesian computation sampling schemes |
| Package source: | EasyABC_1.5.tar.gz |
| Windows binaries: | r-devel: EasyABC_1.5.zip, r-release: EasyABC_1.5.zip, r-oldrel: EasyABC_1.5.zip |
| macOS binaries: | r-release (arm64): EasyABC_1.5.tgz, r-oldrel (arm64): EasyABC_1.5.tgz, r-release (x86_64): EasyABC_1.5.tgz, r-oldrel (x86_64): EasyABC_1.5.tgz |
| Old sources: | EasyABC archive |
| Reverse imports: | nlrx |
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