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  "Authors@R": "c(person(\"Marc\", \"Genton\", role = \"aut\"),\nperson(\"David\", \"Keyes\", role = \"aut\"),\nperson(\"George\", \"Turkiyyah\", role = \"aut\"),\nperson(\"Jian\", \"Cao\", role = c(\"aut\", \"cre\"),\nemail = \"jian.cao@kaust.edu.sa\"))",
  "Description": "Implementation of the classic Genz algorithm and a novel\ntile-low-rank algorithm for computing relatively\nhigh-dimensional multivariate normal (MVN) and Student-t (MVT)\nprobabilities. References used for this package: Foley, James,\nAndries van Dam, Steven Feiner, and John Hughes. \"Computer\nGraphics: Principle and Practice\". Addison-Wesley Publishing\nCompany. Reading, Massachusetts (1987, ISBN:0-201-84840-6 1);\nGenz, A., \"Numerical computation of multivariate normal\nprobabilities,\" Journal of Computational and Graphical\nStatistics, 1, 141-149 (1992)\n<doi:10.1080/10618600.1992.10477010>; Cao, J., Genton, M. G.,\nKeyes, D. E., & Turkiyyah, G. M. \"Exploiting Low Rank\nCovariance Structures for Computing High-Dimensional Normal and\nStudent- t Probabilities,\" Statistics and Computing, 31.1, 1-16\n(2021) <doi:10.1007/s11222-020-09978-y>; Cao, J., Genton, M.\nG., Keyes, D. E., & Turkiyyah, G. M. \"tlrmvnmvt: Computing\nHigh-Dimensional Multivariate Normal and Student-t\nProbabilities with Low-Rank Methods in R,\" Journal of\nStatistical Software, 101.4, 1-25 (2022)\n<doi:10.18637/jss.v101.i04>.",
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