{ "_id": "6a364f9d3efcd9bda44007e8", "Package": "CompExpDes", "Type": "Package", "Title": "Designs for Computer Experimentations", "Version": "1.0.9", "Authors@R": "c(person(\"Ashutosh\", \" Dalal\", email = \" ashutosh.dalal97@gmail.com\", role =c( \"aut\",\"cre\")),person(\"Cini\", \"Varghese\", email = \" Cini.Varghese@icar.gov.in\", role =c( \"aut\", \"ctb\")), person(\"Rajender\", \"Parsad\", email = \"Rajender.Parsad@icar.gov.in\" , role = c( \"aut\",\"ctb\")),person(\"Mohd\", \"Harun\", email = \"Mohd.Harun@icar.gov.in\" , role = c( \"aut\",\"ctb\")))", "Maintainer": "Ashutosh Dalal ", "Description": "In computer experiments space-filling designs are having\ngreat impact. Most popularly used space-filling designs are\nUniform designs (UDs), Latin hypercube designs (LHDs) etc. For\nfurther references one can see Mckay (1979)\n and Fang (1980)\n. In this\npackage, we have provided algorithms for generate efficient\nLHDs and UDs. Here, generated LHDs are efficient as they\npossess lower value of Maxpro measure, Phi_p value and Maximum\nAbsolute Correlation (MAC) value based on the weightage given\nto each criterion. On the other hand, the produced UDs are\nhaving good space-filling property as they always attain the\nlower bound of Discrete Discrepancy measure. Further, some\nuseful functions added in this package for adding more value to\nthis package.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-20 08:27:56 UTC", "User": "root" }, "Author": "Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender\nParsad [aut, ctb], Mohd Harun [aut, ctb]", "Repository": "https://ashutoshdalal97.r-universe.dev", "Date/Publication": "2025-09-18 19:00:02 UTC", "RemoteUrl": "https://github.com/cran/CompExpDes", "RemoteRef": "HEAD", "RemoteSha": "0bb4758b3f96bb650a72d948a266edfe1b251da7", "MD5sum": "d79e81b6d1d6df053dbee5534e280d7b", "_user": "ashutoshdalal97", "_type": "src", "_file": "CompExpDes_1.0.9.tar.gz", "_fileid": "837ee1f519c8dd2ad243269570ca1a873778509006b5b2c57b8d6d2afe7c2c04", "_filesize": 145876, "_sha256": "837ee1f519c8dd2ad243269570ca1a873778509006b5b2c57b8d6d2afe7c2c04", "_created": "2026-06-20T08:27:56.000Z", "_published": "2026-06-20T08:30:21.288Z", 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"ashutoshdalal97", "count": 10, "uuid": 175920405 } ], "_userbio": { "uuid": 175920405, "type": "user", "name": "AshutoshDalal97", "followers": 0 }, "_downloads": { "count": 243, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/CompExpDes" }, "_searchresults": 17, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/CompExpDes.html", "extra/contents.json", "manual.pdf" ], "_realowner": "ashutoshdalal97", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2024-03-28" }, { "version": "1.0.1", "date": "2024-08-18" }, { "version": "1.0.2", "date": "2024-08-21" }, { "version": "1.0.3", "date": "2024-09-03" }, { "version": "1.0.4", "date": "2024-09-26" }, { "version": "1.0.5", "date": "2024-11-04" }, { "version": "1.0.6", "date": "2024-11-28" }, { "version": "1.0.7", "date": "2025-03-29" }, { "version": "1.0.8", "date": "2025-07-25" }, { "version": "1.0.9", "date": "2025-09-18" } ], "_exports": [ "Best_Model", "Discrete_Discrepancy", "MAC", "max_coincidence_number", "Maxpro_Measure", "NOLHDs", "OLHDs_2F", "PhipMeasure", "SLHDs", "UDesigns_I", "UDesigns_II", "UDesigns_III", "wtLHDs", "wtLHDs_prime" ], "_help": [ { "page": "Best_Model", "title": "Find Best Model", "topics": [ "Best_Model" ] }, { "page": "Discrete_Discrepancy", "title": "Measure of Discrete Discrepancy", "topics": [ "Discrete_Discrepancy" ] }, { "page": "MAC", "title": "Maximum Absolute Correlation", "topics": [ "MAC" ] }, { "page": "Meeting_Number", "title": "Maximum Coincidence (or Meeting) numbers between rows", "topics": [ "max_coincidence_number" ] }, { "page": "Maxpro_Measure", "title": "Measure of Maxpro criterion", "topics": [ "Maxpro_Measure" ] }, { "page": "NOLHDs", "title": "Nearly Orthogonal Latin Hypercube Designs for Flexible Levels and Factors", "topics": [ "NOLHDs" ] }, { "page": "OLHDs_2F", "title": "Two Factor Orthogonal Latin Hypercube Designs", "topics": [ "OLHDs_2F" ] }, { "page": "PhipMeasure", "title": "Phi_p criterion", "topics": [ "PhipMeasure" ] }, { "page": "SLHDs", "title": "Sliced Latin Hypercube Designs with Equal Size of Slices", "topics": [ "SLHDs" ] }, { "page": "UDesigns_I", "title": "Orthogonal Uniform Designs with Two Factors", "topics": [ "UDesigns_I" ] }, { "page": "UDesigns_II", "title": "Uniform Designs with Multiple Factors with Minimal Runs", "topics": [ "UDesigns_II" ] }, { "page": "UDesigns_III", "title": "Nearly Orthogonal Uniform Designs for Two and Four Factors", "topics": [ "UDesigns_III" ] }, { "page": "wtLHDs", "title": "Weighted Criteria-Based Latin Hypercube Designs (LHDs) for Any Numbers of Factors (>=2)", "topics": [ "wtLHDs" ] }, { "page": "wtLHDs_prime", "title": "Weighted Criteria-Based Latin Hypercube Designs (LHDs) for Prime Numbers", "topics": [ "wtLHDs_prime" ] } ], "_rundeps": [], "_score": 1.5314789170422551, "_indexed": true, "_nocasepkg": "compexpdes", "_universes": [ "ashutoshdalal97" ], "_binaries": [ { "r": 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