Package: abcrf
Type: Package
Title: Approximate Bayesian Computation via Random Forests
Version: 1.9
Date: 2022-08-09
Description: 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>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
Imports: readr, MASS, matrixStats, ranger, doParallel, parallel,
        foreach, stringr, Rcpp (>= 0.11.2)
LinkingTo: Rcpp, RcppArmadillo
Depends: R(>= 3.1)
NeedsCompilation: yes
Maintainer: Jean-Michel Marin <jean-michel.marin@umontpellier.fr>
Repository: CRAN
Author: Jean-Michel Marin [aut, cre],
  Louis Raynal [aut],
  Pierre Pudlo [aut],
  Christian P. Robert [ctb],
  Arnaud Estoup [ctb]
Packaged: 2022-08-09 09:16:29 UTC; jmm
Date/Publication: 2022-08-09 15:30:19 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 02:44:23 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
