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R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
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.Rprofile added some doc, and two tutorial files Jan 12, 2017
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DESCRIPTION
NAMESPACE
README.md
winference.Rproj

README.md

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.

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