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abcrf: Approximate Bayesian Computation via Random Forests

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:

Reference manual: abcrf.pdf

Downloads:

Package source: abcrf_1.9.tar.gz
Windows binaries: r-devel: abcrf_1.9.zip, r-release: abcrf_1.9.zip, r-oldrel: abcrf_1.9.zip
macOS binaries: r-release (arm64): abcrf_1.9.tgz, r-oldrel (arm64): abcrf_1.9.tgz, r-release (x86_64): abcrf_1.9.tgz, r-oldrel (x86_64): abcrf_1.9.tgz
Old sources: abcrf archive

Reverse dependencies:

Reverse suggests: treestats

Linking:

Please use the canonical form https://CRAN.R-project.org/package=abcrf to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.