README.md
In pierrejacob/winference: Approximate Bayesian Computation with the Wasserstein distance
winference
R package to perform approximate Bayesian computation with the Wasserstein distance
joint work with Espen Bernton, Mathieu Gerber, Christian P. Robert
The inst folder contains tutorial files, and files to reproduce the figures of the article.
The package requires R packages: Rcpp,RcppEigen,doParallel,doRNG,foreach,ggplot2,ggthemes,dplyr,reshape2,BH,transport
as well as the CGAL library which can be installed following the instructions
on https://doc.cgal.org/latest/Manual/installation.html.
pierrejacob/winference documentation built on Feb. 17, 2020, 10:28 p.m.
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winference
R package to perform approximate Bayesian computation with the Wasserstein distance
joint work with Espen Bernton, Mathieu Gerber, Christian P. Robert
The inst folder contains tutorial files, and files to reproduce the figures of the article.
The package requires R packages: Rcpp,RcppEigen,doParallel,doRNG,foreach,ggplot2,ggthemes,dplyr,reshape2,BH,transport as well as the CGAL library which can be installed following the instructions on https://doc.cgal.org/latest/Manual/installation.html.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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