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  "Title": "A-Optimal Block Designs for Comparing Test Treatments with\nControls",
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  "Date": "2024-01-25",
  "Authors@R": "c(person(\"Baidya Nath\", \"Mandal\", email = \"mandal.stat@gmail.com\", role = c(\"aut\", \"cre\")),person(\"Sukanta\", \"Dash\", role = \"aut\"),person(\"Rajender\", \"Parsad\", role = \"aut\"))",
  "Author": "Baidya Nath Mandal [aut, cre], Sukanta Dash [aut], Rajender\nParsad [aut]",
  "Maintainer": "Baidya Nath Mandal <mandal.stat@gmail.com>",
  "Description": "A collection of functions to construct A-optimal block\ndesigns for comparing test treatments with one or more\ncontrol(s). Mainly A-optimal balanced treatment incomplete\nblock designs, weighted A-optimal balanced treatment incomplete\nblock designs, A-optimal group divisible treatment designs and\nA-optimal balanced bipartite block designs can be constructed\nusing the package. The designs are constructed using algorithms\nbased on linear integer programming. To the best of our\nknowledge, these facilities to construct A-optimal block\ndesigns for comparing test treatments with one or more controls\nare not available in the existing R packages. For more details\non designs for tests versus control(s) comparisons, please see\nHedayat, A. S. and Majumdar, D. (1984)\n<doi:10.1080/00401706.1984.10487989> A-Optimal Incomplete Block\nDesigns for Control-Test Treatment Comparisons, Technometrics,\n26, 363-370 and Mandal, B. N. , Gupta, V. K., Parsad, Rajender.\n(2017) <doi:10.1080/03610926.2015.1071394> Balanced treatment\nincomplete block designs through integer programming.\nCommunications in Statistics - Theory and Methods 46(8),\n3728-3737.",
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