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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 constructing example targets, simulation, density evaluation, and score callbacks.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.0) |
| Imports: | stats, mvtnorm (≥ 0.9-9994) |
| Suggests: | testthat |
| Published: | 2026-09-07 |
| 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, https://arxiv.org/abs/2608.26450 |
| NeedsCompilation: | no |
| Citation: | steinsampling citation info |
| Materials: | README |
| CRAN checks: | steinsampling results |
| Reference manual: | steinsampling.html , steinsampling.pdf |
| Package source: | steinsampling_0.1.2.tar.gz |
| Windows binaries: | r-devel: steinsampling_0.1.2.zip, r-release: steinsampling_0.1.2.zip, r-oldrel: steinsampling_0.1.2.zip |
| macOS binaries: | r-release (arm64): steinsampling_0.1.1.tgz, r-oldrel (arm64): steinsampling_0.1.2.tgz, r-release (x86_64): steinsampling_0.1.2.tgz, r-oldrel (x86_64): steinsampling_0.1.2.tgz |
| Old sources: | steinsampling archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.