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>. Estoup A., Raynal L., Verdu P. and Marin J.-M. <http://journal-sfds.fr/article/view/709>. Raynal L., Marin J.-M., Pudlo P., Ribatet M., Robert C. P. and Estoup A. (2019) <doi:10.1093/bioinformatics/bty867>.
| Version: | 1.8.1 |
| Depends: | R (≥ 3.1) |
| Imports: | readr, MASS, matrixStats, ranger, doParallel, parallel, foreach, stringr, Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2019-11-05 |
| 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_1.8.1.tar.gz |
| Windows binaries: | r-devel: abcrf_1.8.1.zip, r-release: abcrf_1.8.1.zip, r-oldrel: abcrf_1.8.1.zip |
| macOS binaries: | r-release: abcrf_1.8.1.tgz, r-oldrel: abcrf_1.8.1.tgz |
| Old sources: | abcrf archive |
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