{ "_id": "6a1e9a6f1d7bb097a0a6e3fd", "Type": "Package", "Package": "GRCFE", "Title": "Generate Optimal Row-Column Factorial Experiments", "Version": "0.1.0", "Authors@R": "c(\nperson(\ngiven = \"Sukanta\",\nfamily = \"Dash\",\nemail = \"sukanta.iasri@gmail.com\",\nrole = c(\"aut\", \"cre\")\n),\nperson(\ngiven = c(\"Amrit\", \"Kumar\"),\nfamily = \"Paul\",\nemail = \"apaul_66@yahoo.com\",\nrole = \"aut\"\n),\nperson(\ngiven = c(\"Med\", \"Ram\"),\nfamily = \"Verma\",\nemail = \"drmrverma@gmail.com\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Anurag\",\nfamily = \"Rawat\",\nemail = \"anuragrawat5683@gmail.com\",\nrole = \"aut\"\n)\n)", "Maintainer": "Sukanta Dash ", "Description": "Provides tools for constructing row-column factorial\nexperiment layouts for the estimation of main effects and\ntwo-factor interactions in factorial and fractional factorial\nexperiments. The package implements generator-matrix based\ndesign construction methods motivated by 2fi-optimal row-column\ndesigns, where all main effects are estimable and as many\ntwo-factor interactions as possible are unconfounded; see\nZhang, Pan and Shi (2025) . It\nalso includes theorem-based constructions, heuristic D-optimal\nsearch routines for unsupported or composite-level cases,\nutilities for building generator matrices, and diagnostic\nfunctions for evaluating aliasing and estimability properties\nof the generated designs.", "License": "GPL (>= 3)", "Config/testthat/edition": "3", "Encoding": "UTF-8", "NeedsCompilation": "no", "RoxygenNote": "7.3.3", "Packaged": { "Date": "2026-06-02 08:52:40 UTC", "User": "root" }, "Author": "Sukanta Dash [aut, cre], Amrit Kumar Paul [aut], Med Ram Verma\n[aut], Anurag Rawat [aut]", "Repository": "https://sukantaiasri.r-universe.dev", "Date/Publication": "2026-04-28 20:44:33 UTC", "RemoteUrl": "https://github.com/cran/GRCFE", "RemoteRef": "HEAD", "RemoteSha": "1f269671fa5967c1890a10f435cc90c95561cc2b", "MD5sum": "fdb31603f06370c6abf2956646a2ae5f", "_user": "sukantaiasri", "_type": "src", "_file": "GRCFE_0.1.0.tar.gz", "_fileid": "ce47a302b6f823ca19da5a690d975a1335eb526b3917de8b3e1fed12fc1dba1c", 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