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  "Title": "Optimal Row-Column Designs for Asymmetrical Factorial\nExperiments",
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  "Description": "Constructs and analyzes optimal row-column designs for\nmixed-level factorial experiments under square and rectangular\nfield layouts. For square field layouts, the package implements\ndirect common-factor constructions by first forming two\ncomponent treatment arrays, one for each factor or\nsuper-factor, and then combining them through a symbolic\ncell-wise product following Gopinath, Parsad and Mandal (2018)\n<doi:10.1080/03610926.2017.1376091>. For rectangular field\nlayouts, the package constructs designs by extracting a\nbalanced principal block from a mixed-level block design,\ntreating it as the principal column, taking the complete\ntreatment set as the principal row, and generating the full\nrow-column design by cyclic modular development. The package\nalso includes repair utilities for improving disconnected or\npartially connected row-column designs through bounded\ntreatment-swap searches while preserving the row-column layout\nstructure. The package provides diagnostic tools for\nconnectedness, orthogonal factorial structure, balance,\nestimability, and selected optimality criteria for row-column\ndesigns.",
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  "Author": "Archana A [aut], Sukanta Dash [aut, cre]",
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    "make_connected_rcd_bounded",
    "make_D2_from_complete_sets",
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    "mfrcd_check_repair",
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    "rcd_feasibility_check",
    "summarize_rcd_layout",
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    "validate_bounded_rcd",
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    {
      "page": "analyse_rcd",
      "title": "Analyze a factorial row-column design",
      "topics": [
        "analyse_rcd"
      ]
    },
    {
      "page": "check_rc_factorial_n",
      "title": "Check basic row-column factorial design properties",
      "topics": [
        "check_rc_factorial_n"
      ]
    },
    {
      "page": "make_connected_rcd_bounded",
      "title": "Repair a row-column design under bounded swaps",
      "topics": [
        "make_connected_rcd_bounded"
      ]
    },
    {
      "page": "make_D2_from_complete_sets",
      "title": "Create a D2 design from complete treatment sets",
      "topics": [
        "make_D2_from_complete_sets"
      ]
    },
    {
      "page": "mfrcd",
      "title": "Generate a mixed-level factorial row-column design",
      "topics": [
        "mfrcd"
      ]
    },
    {
      "page": "mfrcd_check_repair",
      "title": "Generate, check, and optionally repair an MFRCD design",
      "topics": [
        "mfrcd_check_repair"
      ]
    },
    {
      "page": "print.mfrcd_check_repair",
      "title": "Print an MFRCD check-and-repair result",
      "topics": [
        "print.mfrcd_check_repair"
      ]
    },
    {
      "page": "print.rcd_analysis",
      "title": "Print a row-column design analysis",
      "topics": [
        "print.rcd_analysis"
      ]
    },
    {
      "page": "rc_factorial_n",
      "title": "Construct a mixed-level factorial row-column design",
      "topics": [
        "rc_factorial_n"
      ]
    },
    {
      "page": "rc_from_principal_block",
      "title": "Construct a row-column design from a principal block",
      "topics": [
        "rc_from_principal_block"
      ]
    },
    {
      "page": "rc_method1",
      "title": "Construct a two-factor row-column design using Method 1",
      "topics": [
        "rc_method1"
      ]
    },
    {
      "page": "rc_method2",
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      "topics": [
        "rc_method2"
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    },
    {
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      "topics": [
        "rcd_analysis_summary"
      ]
    },
    {
      "page": "rcd_feasibility_check",
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      "topics": [
        "rcd_feasibility_check"
      ]
    },
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      "page": "summarize_rcd_layout",
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    },
    {
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      ]
    },
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      ]
    },
    {
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