Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests. Pudlo, P., Marin, J.-M., Estoup, A., Cornuet, J.-M., Gautier, M. and Robert, C.P. (2016) <doi:10.1093/bioinformatics/btv684>. Raynal, L., Marin, J.-M., Pudlo, P., Ribatet, M., Robert, C.P. and Estoup, A. (2017) <arXiv:1605.05537>.
| Version: | 1.7.1 |
| Depends: | R (≥ 3.1) |
| Imports: | readr, MASS, matrixStats, ranger, parallel, stringr, Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-06-27 |
| Author: | Jean-Michel Marin [aut, cre], Louis Raynal [aut], Pierre Pudlo [aut], Christian P. Robert [ctb], Arnaud Estoup [ctb] |
| Maintainer: | Jean-Michel Marin <jean-michel.marin at umontpellier.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | abcrf results |
| Reference manual: | abcrf.pdf |
| Package source: | abcrf_1.7.1.tar.gz |
| Windows binaries: | r-devel: abcrf_1.7.1.zip, r-release: abcrf_1.7.1.zip, r-oldrel: abcrf_1.7.1.zip |
| OS X binaries: | r-release: abcrf_1.7.1.tgz, r-oldrel: abcrf_1.7.1.tgz |
| Old sources: | abcrf archive |
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