steinsampling: Kernel Stein Discrepancy Goodness-of-Fit and Stein Sampling Tools

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) <doi:10.48550/arXiv.1602.03253> and Chwialkowski et al. (2016) <doi:10.48550/arXiv.1602.02964>, plus the finite set Stein discrepancy test of Jitkrittum et al. (2017) <doi: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) <doi:10.48550/arXiv.2005.03952>, Chen et al. (2018) <doi:10.48550/arXiv.1803.10161>, Chen et al. (2019) <doi:10.48550/arXiv.1905.03673>, and Liu and Wang (2016) <doi:10.48550/arXiv.1608.04471>. Gaussian mixture utilities are included for simulation, likelihoods, posterior probabilities, scores, and plots.

Version:	0.1.0
Depends:	R (≥ 4.0)
Imports:	stats, graphics, mvtnorm
Suggests:	testthat, withr
Published:	2026-07-21
DOI:	10.32614/CRAN.package.steinsampling
Author:	Junhao Gao [aut, cre], Ery Arias-Castro [aut]
Maintainer:	Junhao Gao <jug049 at ucsd.edu>
BugReports:	https://github.com/junhao7622/steinsampling/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/junhao7622/steinsampling
NeedsCompilation:	no
CRAN checks:	steinsampling results

Documentation:

Reference manual:

steinsampling.html , steinsampling.pdf

Downloads:

Package source:	steinsampling_0.1.0.tar.gz
Windows binaries:	r-devel: steinsampling_0.1.0.zip, r-release: steinsampling_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): steinsampling_0.1.0.tgz, r-oldrel (arm64): steinsampling_0.1.0.tgz, r-release (x86_64): steinsampling_0.1.0.tgz, r-oldrel (x86_64): steinsampling_0.1.0.tgz

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