Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.
Version: | 1.7 |
Depends: | R (≥ 3.1) |
Imports: | readr, MASS, matrixStats, ranger, parallel, stringr, Rcpp (≥ 0.11.2) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2017-09-04 |
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.tar.gz |
Windows binaries: | r-devel: abcrf_1.7.zip, r-release: abcrf_1.7.zip, r-oldrel: abcrf_1.7.zip |
OS X El Capitan binaries: | r-release: abcrf_1.7.tgz |
OS X Mavericks binaries: | r-oldrel: abcrf_1.7.tgz |
Old sources: | abcrf archive |
Please use the canonical form https://CRAN.R-project.org/package=abcrf to link to this page.