{ "_id": "6ad5dee1d423e4b0c576cbca", "Package": "TCpRepDesigns", "Type": "Package", "Title": "Partially Replicated Test-Control Designs for Early Generation\nVarietal Trials", "Version": "0.0.2", "Authors@R": "c(\nperson(\"Vinaykumar\", \"L.N.\",\nemail = \"vinaymandya123@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Cini\", \"Varghese\",\nemail = \"cini2204@gmail.com\",\nrole = c(\"aut\", \"ctb\")),\nperson(\"Mohd\", \"Harun\",\nemail = \"harun.agribhu@gmail.com\",\nrole = c(\"aut\", \"ctb\")),\nperson(\"Sayantani\", \"Karmakar\",\nemail = \"sayantanikarmakar20@gmail.com\",\nrole = c(\"aut\", \"ctb\")),\nperson(\"Vinayaka\", \"\",\nemail = \"vinayaka.b3vs@gmail.com\",\nrole = c(\"aut\", \"ctb\"))\n)", "Maintainer": "Vinaykumar L.N. ", "Description": "Provides functions for generating partially replicated\n(p-rep) test-control designs for early generation varietal\ntrials conducted across multiple environments. The package\nimplements three construction methods for obtaining p-rep\ntest-control designs with one or more control treatments. The\npackage extends the partially replicated design framework of\nVinaykumar et al. (2026) to\naccommodate test-control comparisons in breeding trials.\nFunctions are provided for generating randomized and\nnon-randomized layouts and for displaying the design parameters\nand treatment allocations for each environment. The proposed\ndesigns are useful for large-scale varietal evaluation trials\nwhere a large number of test lines are assessed under limited\nexperimental resources.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-19 09:08:22 UTC", "User": "root" }, "Author": "Vinaykumar L.N. 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