Package: hdtg
Title: Generate Samples from Multivariate Truncated Normal
        Distributions
Version: 0.2.2
Authors@R: 
  c(person("Zhenyu", "Zhang", email = "zhangzhenyusa@gmail.com", role = c("aut", "cre")),
    person("Andrew", "Chin", email = "achin23@jhu.edu", role = "aut"),
    person("Akihiko", "Nishimura", email = "akihiko4@gmail.com", role = "aut"),
    person("Marc A.", "Suchard", email = "msuchard@ucla.edu", role = "aut"),
    person("John W.", "Ratcliff et al.", role = c("cph", "ctb"),
      comment = "authors and copyright holders of see2neon.h under an MIT license"))
Maintainer: Zhenyu Zhang <zhangzhenyusa@gmail.com>
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2.9000
Imports: Rcpp, RcppParallel, mgcv, stats, Rdpack
RdMacros: Rdpack
LinkingTo: Rcpp, RcppEigen, RcppParallel
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
SystemRequirements: CPU with AVX/SSE4.2 (optional for better
        performance)
NeedsCompilation: yes
Packaged: 2025-10-25 05:58:52 UTC; user1
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)
Repository: CRAN
Date/Publication: 2025-10-25 07:30:07 UTC
Built: R 4.4.1; aarch64-apple-darwin20; 2025-10-25 09:50:04 UTC; unix
Archs: hdtg.so.dSYM
