Kernel Stein Discrepancy Goodness-of-Fit and Stein Sampling Tools R package steinsampling version 0.1.0 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. Software Depends: R (>= 4.0) Imports: stats, graphics, mvtnorm Suggests: testthat, withr Junhao Gao <jug049@ucsd.edu> Comprehensive R Archive Network (CRAN) Junhao Gao [aut, cre], Ery Arias-Castro [aut] GPL (>= 2) 2026-07-21 application/tgz https://CRAN.R-project.org/package=steinsampling doi:10.32614/CRAN.package.steinsampling