CRAN

abcrf 1.8

Approximate Bayesian Computation via Random Forests

Released Jun 14, 2019 by Jean-Michel Marin

This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log An older version of this package is more compatible with Renjin.

Dependencies

readr 1.3.1 matrixStats 0.54.0 RcppArmadillo 0.9.500.2.0 MASS 7.3-51.4 ranger 0.11.2 foreach 1.4.4 stringr 1.4.0 doParallel 1.0.14 Rcpp

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. . Raynal L., Marin J.-M., Pudlo P., Ribatet M., Robert C. P. and Estoup A. (2019) .

Source

R
C++

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