wilson-ye-chen/stein.thinning: Stein Thinning

Stein Thinning is a tool for post-processing the output of a sampling procedure, such as Markov chain Monte Carlo (MCMC). It aims to minimise a Stein discrepancy, selecting a subsequence of samples that best represent the distributional target.

Getting started

Package details

Maintainer
License`use_mit_license()`, `use_gpl3_license()` or friends to pick a license
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("wilson-ye-chen/stein.thinning")
wilson-ye-chen/stein.thinning documentation built on Jan. 8, 2022, 11:42 a.m.