winference
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20 hours ago •
pierrejacob
pierrejacob
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
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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pierrejacob
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R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)