abcrf: Approximate Bayesian Computation via Random Forests

Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.

Version: 1.6
Depends: R (≥ 3.1)
Imports: readr, MASS, matrixStats, ranger, parallel, stringr, Rcpp (≥ 0.11.2)
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-07-01
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

Downloads:

Reference manual: abcrf.pdf
Package source: abcrf_1.6.tar.gz
Windows binaries: r-devel: abcrf_1.6.zip, r-release: abcrf_1.6.zip, r-oldrel: abcrf_1.6.zip
OS X El Capitan binaries: r-release: abcrf_1.6.tgz
OS X Mavericks binaries: r-oldrel: abcrf_1.6.tgz
Old sources: abcrf archive

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