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) . 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) .


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install.packages("abcrf")

1.8 by Jean-Michel Marin, 3 months ago


Browse source code at https://github.com/cran/abcrf


Authors: Jean-Michel Marin [aut, cre] , Louis Raynal [aut] , Pierre Pudlo [aut] , Christian P. Robert [ctb] , Arnaud Estoup [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports readr, MASS, matrixStats, ranger, doParallel, parallel, foreach, stringr, Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN