{ "_id": "6a1ef6a6b401979e734174c6", "Package": "LHD", "Type": "Package", "Title": "Latin Hypercube Designs (LHDs)", "Version": "1.4.1", "Authors@R": "c(\nperson(\"Hongzhi\", \"Wang\", email=\"wanghongzhi.ut@gmail.com\", role=c(\"aut\",\"cre\")),\nperson(\"Qian\", \"Xiao\", role=\"aut\"),\nperson(\"Abhyuday\", \"Mandal\", role=\"aut\"))", "Description": "Contains different algorithms and construction methods for\noptimal Latin hypercube designs (LHDs) with flexible sizes. Our\npackage is comprehensive since it is capable of generating\nmaximin distance LHDs, maximum projection LHDs, and orthogonal\nand nearly orthogonal LHDs. Detailed comparisons and summary of\nall the algorithms and construction methods in this package can\nbe found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021)\n. This package is particularly\nuseful in the area of Design and Analysis of Experiments (DAE).\nMore specifically, design of computer experiments.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 06:33:56 UTC", "User": "root" }, "Author": "Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]", "Maintainer": "Hongzhi Wang ", "Repository": "https://whzsdhr.r-universe.dev", "Date/Publication": "2025-02-12 11:40:19 UTC", "RemoteUrl": "https://github.com/cran/LHD", "RemoteRef": "HEAD", "RemoteSha": "4909b2e23d13a69cd602a3dea432cb88c0e826e8", "MD5sum": "366e6d6b6b1a7c8b96b1e4972a4ea2f2", "_user": "whzsdhr", "_type": "src", "_file": "LHD_1.4.1.tar.gz", "_fileid": "a2e500537fa6c853f21db6b11a1117fb2212a4fa46559ee8957b5cd65f8d1d36", "_filesize": 198409, "_sha256": "a2e500537fa6c853f21db6b11a1117fb2212a4fa46559ee8957b5cd65f8d1d36", "_created": 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Design", "topics": [ "GLP" ] }, { "page": "LaPSO", "title": "Particle Swarm Optimization for LHD", "topics": [ "LaPSO" ] }, { "page": "MaxAbsCor", "title": "Calculate the Maximum Absolute Correlation", "topics": [ "MaxAbsCor" ] }, { "page": "MaxProCriterion", "title": "Calculate the Maximum Projection Criterion", "topics": [ "MaxProCriterion" ] }, { "page": "OA2LHD", "title": "Transfer an Orthogonal Array (OA) into an LHD", "topics": [ "OA2LHD" ] }, { "page": "OASA", "title": "Orthogonal-Array-Based Simulated Annealing", "topics": [ "OASA" ] }, { "page": "OLHD.B2001", "title": "Orthogonal Latin Hypercube Design", "topics": [ "OLHD.B2001" ] }, { "page": "OLHD.C2007", "title": "Orthogonal Latin Hypercube Design", "topics": [ "OLHD.C2007" ] }, { "page": "OLHD.L2009", "title": "Orthogonal Latin Hypercube Design", "topics": [ "OLHD.L2009" ] }, { "page": "OLHD.S2010", "title": "Orthogonal Latin Hypercube Design", "topics": [ "OLHD.S2010" ] }, { "page": "OLHD.Y1998", "title": "Orthogonal 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