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.