pierrejacob/winference: Approximate Bayesian Computation with the Wasserstein distance
Version 0.1.2

Parameter inference for generative models, by using an approximate Bayesian computation approach where summary statistics are replaced by the Wasserstein distance between synthetic and observed data.

Getting started

Package details

AuthorEspen Bernton, Pierre E. Jacob
MaintainerPierre E. Jacob <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
pierrejacob/winference documentation built on Aug. 17, 2018, 5:13 p.m.