abcrf: Approximate Bayesian Computation via Random Forests

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

Version: 1.3
Depends: R (≥ 2.10.0)
Imports: MASS, randomForest, parallel, foreach, doParallel, doRNG
Published: 2016-06-03
Author: Jean-Michel Marin [aut, cre], Pierre Pudlo [aut], Louis Raynal [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: no
CRAN checks: abcrf results

Downloads:

Reference manual: abcrf.pdf
Package source: abcrf_1.3.tar.gz
Windows binaries: r-devel: abcrf_1.3.zip, r-release: abcrf_1.3.zip, r-oldrel: abcrf_1.3.zip
OS X Mavericks binaries: r-release: abcrf_1.3.tgz, r-oldrel: abcrf_1.3.tgz
Old sources: abcrf archive

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