pierrejacob/winference: Approximate Bayesian Computation with the Wasserstein distance
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
Browse package contents
Package details |
|
|---|---|
| Author | Espen Bernton, Mathieu Gerber, Pierre E. Jacob |
| Maintainer | Pierre E. Jacob <pierre.jacob@fas.harvard.edu> |
| License | GPL (>= 2) |
| Version | 0.1.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
