{ "_id": "6a1f37e9b401979e73428da0", "Package": "hdtg", "Title": "Generate Samples from Multivariate Truncated Normal\nDistributions", "Version": "0.3.4", "Authors@R": "c(person(\"Zhenyu\", \"Zhang\", email = \"zhangzhenyusa@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Andrew\", \"Chin\", email = \"achin23@jhu.edu\", role = \"aut\"),\nperson(\"Akihiko\", \"Nishimura\", email = \"akihiko4@gmail.com\", role = \"aut\"),\nperson(\"Marc A.\", \"Suchard\", email = \"msuchard@ucla.edu\", role = \"aut\"),\nperson(\"John W.\", \"Ratcliff et al.\", role = c(\"cph\", \"ctb\"),\ncomment = \"authors and copyright holders of see2neon.h under an MIT license\"))", "Maintainer": "Zhenyu Zhang ", "Description": "Efficient sampling from high-dimensional truncated\nGaussian distributions, or multivariate truncated normal (MTN).\nTechniques include zigzag Hamiltonian Monte Carlo as in Akihiko\nNishimura, Zhenyu Zhang and Marc A. 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