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>.
| Version: | 0.2.3 | 
| Imports: | Rcpp, RcppParallel, mgcv, stats, Rdpack | 
| LinkingTo: | Rcpp, RcppEigen, RcppParallel | 
| Suggests: | testthat (≥ 3.0.0) | 
| Published: | 2025-10-28 | 
| DOI: | 10.32614/CRAN.package.hdtg | 
| 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 at gmail.com> | 
| License: | MIT + file LICENSE | 
| NeedsCompilation: | yes | 
| SystemRequirements: | CPU with AVX/SSE4.2 (optional for better
performance) | 
| Citation: | hdtg citation info | 
| CRAN checks: | hdtg results | 
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