Package: abcrf
Type: Package
Title: Approximate Bayesian Computation via Random Forests
Version: 1.7.1
Date: 2018-06-27
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>.
  Raynal, L., Marin, J.-M., Pudlo, P., Ribatet, M., Robert, C.P. and Estoup, A. (2017) <arXiv:1605.05537>.
License: GPL (>= 2)
LazyData: TRUE
Imports: readr, MASS, matrixStats, ranger, parallel, 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: 2018-06-27 15:35:33 UTC; jmm
Date/Publication: 2018-06-27 16:07:51 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 21:58:44 UTC; windows
Archs: i386, x64
