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cff-version: 1.2.0
message: 'To cite package "steinsampling" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'steinsampling: Kernel Stein Discrepancy Goodness-of-Fit and Stein Sampling
  Tools'
version: 0.1.0
doi: 10.32614/CRAN.package.steinsampling
abstract: Provides Stein-discrepancy goodness-of-fit tests and Stein-method-based
  sampling tools. The tests include kernel Stein discrepancy U- and V-statistics following
  Liu et al. (2016) <https://doi.org/10.48550/arXiv.1602.03253> and Chwialkowski et
  al. (2016) <https://doi.org/10.48550/arXiv.1602.02964>, plus the finite set Stein
  discrepancy test of Jitkrittum et al. (2017) <https://doi.org/10.48550/arXiv.1705.07673>.
  The sampling tools include Stein thinning, Stein Points, Stein Point Markov chain
  Monte Carlo, and Stein variational gradient descent following Riabiz et al. (2022)
  <https://doi.org/10.48550/arXiv.2005.03952>, Chen et al. (2018) <https://doi.org/10.48550/arXiv.1803.10161>,
  Chen et al. (2019) <https://doi.org/10.48550/arXiv.1905.03673>, and Liu and Wang
  (2016) <https://doi.org/10.48550/arXiv.1608.04471>. Gaussian mixture utilities are
  included for simulation, likelihoods, posterior probabilities, scores, and plots.
authors:
- family-names: Gao
  given-names: Junhao
  email: jug049@ucsd.edu
- family-names: Arias-Castro
  given-names: Ery
  email: eariascastro@ucsd.edu
repository: https://junhao7622.r-universe.dev
repository-code: https://github.com/junhao7622/steinsampling
commit: 4ba336054ae37035234902d2f4e27844c6cbf184
url: https://github.com/junhao7622/steinsampling
date-released: '2026-07-11'
contact:
- family-names: Gao
  given-names: Junhao
  email: jug049@ucsd.edu