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  "Title": "Ternary Residual Effect Designs",
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  "Authors@R": "c(person(\"Akhilesh\", \"Jha\", email = \"jha.akhilesh09@gmail.com\", role = \"aut\"), person(\"Cini\", \"Varghese\", email = \"cini2204@gmail.com\" , role = \"aut\"), person(\"Seema\", \"Jaggi\", email = \"seema.jaggi@icar.gov.in\", role = \"aut\"), person(\"Mohd\", \"Harun\", email = \"mohd.harun@icar.gov.in\" , role = \"aut\"), person(\"Ashutosh\",\"Dalal\", email = \"ashutosh.dalal97@gmail.com\", role = c(\"aut\", \"cre\")))",
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  "Description": "There are some experimental scenarios where each\nexperimental unit receives a sequence of treatments across\nmultiple periods, and treatment effects persist beyond the\nperiod of application. It focuses on the construction and\ncalculation of the parametric value of the residual effect\ndesigns balanced for carryover effects, also referred to as\ncrossover designs, change-over designs, or repeated\nmeasurements designs (Aggarwal and Jha,\n2010<doi:10.1080/15598608.2010.10412013>). The primary\nobjective of the package is to generate a new class of Balanced\nTernary Residual Effect Designs (BTREDs), balanced for\ncarryover effects tailored explicitly for situations where the\nnumber of periods is less than or equal to the number of\ntreatments. In addition, the package provides four new classes\nof Partially Balanced Ternary Residual Effect Designs\n(PBTREDs), constructed using incomplete block designs, initial\nsequences, and rectangular association scheme. In addition, one\nextra function is included to help study the parametric\nproperties of a given residual effect design.",
  "License": "GPL (>= 2)",
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  "Packaged": {
    "Date": "2026-05-11 07:27:31 UTC",
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  "Author": "Akhilesh Jha [aut], Cini Varghese [aut], Seema Jaggi [aut],\nMohd Harun [aut], Ashutosh Dalal [aut, cre]",
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  "Date/Publication": "2025-01-19 16:30:02 UTC",
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