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hdtg: Generate Samples from Multivariate Truncated Normal Distributions
Efficient sampling from high-dimensional truncated Gaussian distributions, or multivariate truncated normal (MTN). Techniques include zigzag Hamiltonian Monte Carlo as in Akihiko Nishimura, Zhenyu Zhang and Marc A. Suchard (2024) <doi:10.1080/01621459.2024.2395587>, and harmonic Monte in Ari Pakman and Liam Paninski (2014) <doi:10.1080/10618600.2013.788448>.
Getting started
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Package details |
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| Author | Zhenyu Zhang [aut, cre], Andrew Chin [aut], Akihiko Nishimura [aut], Marc A. Suchard [aut], John W. Ratcliff et al. [cph, ctb] (authors and copyright holders of see2neon.h under an MIT license) |
| Maintainer | Zhenyu Zhang <zhangzhenyusa@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
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