abcrf: Approximate Bayesian Computation via Random Forests (original) (raw)
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: | 1.9 |
---|---|
Depends: | R (≥ 3.1) |
Imports: | readr, MASS, matrixStats, ranger, doParallel, parallel, foreach, stringr, Rcpp (≥ 0.11.2) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2022-08-09 |
DOI: | 10.32614/CRAN.package.abcrf |
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 |
In views: | Bayesian |
CRAN checks: | abcrf results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=abcrfto link to this page.