{
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  "Package": "OPDOE",
  "Version": "1.0-10",
  "Title": "Optimal Design of Experiments",
  "Author": "Petr Simecek <simecek@gmail.com>, Juergen Pilz\n<juergen.pilz@aau.at>, Mingui Wang <mail.mwang@gmail.com>,\nAlbrecht Gebhardt <albrecht.gebhardt@aau.at>.",
  "Maintainer": "Albrecht Gebhardt <albrecht.gebhardt@aau.at>",
  "Description": "Several function related to Experimental Design are\nimplemented here, see \"Optimal Experimental Design with R\" by\nRasch D. et. al (ISBN 9781439816974).",
  "License": "GPL (>= 2)",
  "Packaged": {
    "Date": "2026-05-12 06:38:46 UTC",
    "User": "root"
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  "NeedsCompilation": "no",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2018-03-17 21:49:18 UTC",
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  "_published": "2026-05-22T10:58:19.231Z",
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    "Beta",
    "bibd",
    "conf.matrix",
    "Confint.mean.two_stage",
    "decide.triangular.test",
    "defining_relation.fractional_factorial.two_levels",
    "delta.t.test",
    "design.reg.polynom",
    "design.regression.polynom",
    "hadamard.matrix",
    "is.hadamard",
    "ncp",
    "optim_size_n.three_way_nested.model_4_a",
    "optim_size_n.three_way_nested.model_4_c",
    "plot.triangular.test",
    "print.bibd",
    "print.design.regression",
    "print.triangular.test",
    "seqadd.confint",
    "seqadd.normal",
    "size_a.three_way_mixed_cxbina.model_3_c",
    "size_a.three_way_mixed_cxbina.model_7_c",
    "size_ab.three_way_mixed_cxbina.model_7_c",
    "size_b.three_way_mixed_ab_in_c.model_3_a",
    "size_b.three_way_mixed_cxbina.model_4_a",
    "size_b.three_way_mixed_cxbina.model_4_axc",
    "size_b.three_way_mixed_cxbina.model_4_c",
    "size_b.three_way_mixed_cxbina.model_7_c",
    "size_b.three_way_nested.model_6_a",
    "size_b.two_way_cross.mixed_model_a_fixed_a",
    "size_b.two_way_nested.b_random_a_fixed_a",
    "size_bc.three_way_cross.model_4_a_case1",
    "size_bc.three_way_cross.model_4_a_case2",
    "size_bc.three_way_mixed_cxbina.model_6_a_case1",
    "size_bc.three_way_mixed_cxbina.model_6_a_case2",
    "size_c.three_way_cross.model_3_a",
    "size_c.three_way_cross.model_3_axb",
    "size_c.three_way_mixed_ab_in_c.model_5_a",
    "size_c.three_way_mixed_ab_in_c.model_5_axb",
    "size_c.three_way_mixed_ab_in_c.model_5_b",
    "size_c.three_way_mixed_ab_in_c.model_6_b",
    "size_c.three_way_mixed_cxbina.model_5_a",
    "size_c.three_way_mixed_cxbina.model_5_b",
    "size_c.three_way_mixed_cxbina.model_7_b",
    "size_c.three_way_nested.model_5_a",
    "size_c.three_way_nested.model_5_b",
    "size_c.three_way_nested.model_7_b",
    "size_n.one_way.model_1",
    "size_n.regII.ci_b1",
    "size_n.regII.ci_exp",
    "size_n.regII.ci_rho",
    "size_n.regII.test_rho",
    "size_n.regII.test_rho_2",
    "size_n.regII.test_rho2",
    "size_n.three_way_cross.model_1_a",
    "size_n.three_way_cross.model_1_axb",
    "size_n.three_way_cross.model_1_axbxc",
    "size_n.three_way_mixed_ab_in_c.model_1_a",
    "size_n.three_way_mixed_ab_in_c.model_1_axb",
    "size_n.three_way_mixed_ab_in_c.model_1_b",
    "size_n.three_way_mixed_ab_in_c.model_1_c",
    "size_n.three_way_mixed_ab_in_c.model_3_c",
    "size_n.three_way_mixed_ab_in_c.model_4_c",
    "size_n.three_way_mixed_cxbina.model_1_a",
    "size_n.three_way_mixed_cxbina.model_1_axc",
    "size_n.three_way_mixed_cxbina.model_1_b",
    "size_n.three_way_mixed_cxbina.model_1_bxc",
    "size_n.three_way_mixed_cxbina.model_1_c",
    "size_n.three_way_mixed_cxbina.model_3_b",
    "size_n.three_way_mixed_cxbina.model_3_bxc",
    "size_n.three_way_nested.model_1_a",
    "size_n.three_way_nested.model_1_b",
    "size_n.three_way_nested.model_1_c",
    "size_n.three_way_nested.model_3_b",
    "size_n.three_way_nested.model_3_c",
    "size_n.three_way_nested.model_4_a",
    "size_n.three_way_nested.model_4_c",
    "size_n.three_way_nested.model_8_c",
    "size_n.two_way_cross.model_1_a",
    "size_n.two_way_cross.model_1_axb",
    "size_n.two_way_nested.a_random_b_fixed_b",
    "size_n.two_way_nested.model_1_test_factor_a",
    "size_n.two_way_nested.model_1_test_factor_b",
    "size.anova",
    "size.comparing_probs.mcnemar",
    "size.comparing.variances",
    "size.multiple_t.test",
    "size.prop_test.two_sample",
    "size.prop.confint",
    "size.prop.test",
    "size.selection.bechhofer",
    "size.seq_select.mean",
    "size.t.test",
    "size.variance.confint",
    "sizes.confint.welch",
    "triangular.test.norm",
    "triangular.test.prop",
    "update.triangular.test",
    "update.triangular.test.norm",
    "update.triangular.test.prop"
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  "_datasets": [
    {
      "name": "cattle",
      "title": "Cattle data",
      "object": "cattle",
      "file": "cattle.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "had100",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "had116",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
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    },
    {
      "name": "had156",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
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    },
    {
      "name": "had172",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
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        "array"
      ],
      "fields": {},
      "rows": 172,
      "table": true,
      "tojson": true
    },
    {
      "name": "had188",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 188,
      "table": true,
      "tojson": true
    },
    {
      "name": "had236",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 236,
      "table": true,
      "tojson": true
    },
    {
      "name": "had244",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 244,
      "table": true,
      "tojson": true
    },
    {
      "name": "had52",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 52,
      "table": true,
      "tojson": true
    },
    {
      "name": "had92",
      "title": "Stored Hadmard matrices",
      "object": "hadamard.table",
      "file": "hadamard.table.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 92,
      "table": true,
      "tojson": true
    },
    {
      "name": "heights",
      "title": "male / female heights data",
      "object": "heights",
      "file": "heights.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "female",
        "male"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "hemp",
      "title": "Hemp data",
      "object": "hemp",
      "file": "hemp.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "cattle",
      "title": "Cattle data",
      "topics": [
        "cattle"
      ]
    },
    {
      "page": "design.reg.polynom",
      "title": "Design for Polynomial Regression",
      "topics": [
        "design.reg.polynom",
        "design.regression.polynom"
      ]
    },
    {
      "page": "design.regression",
      "title": "Regression Design Object",
      "topics": [
        "design.regression"
      ]
    },
    {
      "page": "had",
      "title": "Stored Hadmard matrices",
      "topics": [
        "had100",
        "had116",
        "had156",
        "had172",
        "had188",
        "had236",
        "had244",
        "had52",
        "had92"
      ]
    },
    {
      "page": "heights",
      "title": "male / female heights data",
      "topics": [
        "heights"
      ]
    },
    {
      "page": "hemp",
      "title": "Hemp data",
      "topics": [
        "hemp"
      ]
    },
    {
      "page": "OPDOE-undocumented",
      "title": "(still) undocumented functions",
      "topics": [
        "add_size.mean.two_stage",
        "Beta",
        "bibd",
        "conf.matrix",
        "Confint.mean.two_stage",
        "conversion.low_high.two_levels",
        "decide.triangular.test",
        "defining_relation.fractional_factorial.two_levels",
        "delta.t.test",
        "hadamard.matrix",
        "hadamard.table",
        "is.hadamard",
        "jacobsthal",
        "legendre.symbol",
        "myGF",
        "myredu.modp",
        "ncp",
        "optim_size_n.three_way_nested.model_4_a",
        "optim_size_n.three_way_nested.model_4_c",
        "paley",
        "paley2",
        "plot.triangular.test",
        "print.bibd",
        "seqadd.confint",
        "seqadd.normal",
        "size.comparing.variances",
        "size.comparing_probs.mcnemar",
        "size.multiple_t.test",
        "size.prop.confint",
        "size.prop.test",
        "size.prop_test.two_sample",
        "size.selection.bechhofer",
        "size.seq_select.mean",
        "size.t.test",
        "size.variance.confint",
        "sizes.confint.welch",
        "size_n.regII.ci_b1",
        "size_n.regII.ci_exp",
        "size_n.regII.ci_rho",
        "size_n.regII.test_rho",
        "size_n.regII.test_rho2",
        "size_n.regII.test_rho_2",
        "size_n.three_way_nested.model_4_c",
        "sylvester",
        "walsh"
      ]
    },
    {
      "page": "print.design.regression",
      "title": "Prints a regression design object",
      "topics": [
        "print.design.regression"
      ]
    },
    {
      "page": "print.triangular.test",
      "title": "Print method for Triangular Test Objects",
      "topics": [
        "print.triangular.test",
        "print.triangular.test.norm",
        "print.triangular.test.prop"
      ]
    },
    {
      "page": "size_a.three_way",
      "title": "Three-way analysis of variance - mixed classification (A in B) x C model III and VII",
      "topics": [
        "size_a.three_way_mixed_cxbina.model_3_c",
        "size_a.three_way_mixed_cxbina.model_7_c",
        "size_ab.three_way_mixed_cxbina.model_7_c"
      ]
    },
    {
      "page": "size_b.three_way",
      "title": "Three-way analysis of variance - nested and mixed classification A in B in C and (A in B) x C model III, IV and VII",
      "topics": [
        "size_b.three_way_mixed_ab_in_c.model_3_a",
        "size_b.three_way_mixed_cxbina.model_4_a",
        "size_b.three_way_mixed_cxbina.model_4_axc",
        "size_b.three_way_mixed_cxbina.model_4_c",
        "size_b.three_way_mixed_cxbina.model_7_c",
        "size_b.three_way_nested.model_6_a"
      ]
    },
    {
      "page": "size_b.two_way",
      "title": "Design for Two-Way ANOVA",
      "topics": [
        "size_b.two_way_cross.mixed_model_a_fixed_a",
        "size_b.two_way_nested.b_random_a_fixed_a"
      ]
    },
    {
      "page": "size_bc.three_way",
      "title": "Three-way analysis of variance - cross classification (A in B) x C - model IV, Three-way analysis of variance - mixed classification (A in B) x C model VI",
      "topics": [
        "size_bc.three_way_cross.model_4_a_case1",
        "size_bc.three_way_cross.model_4_a_case2",
        "size_bc.three_way_mixed_cxbina.model_6_a_case1",
        "size_bc.three_way_mixed_cxbina.model_6_a_case2"
      ]
    },
    {
      "page": "size_c.three_way",
      "title": "Three-way analysis of variance - several cross-, nested and mixed classifications.",
      "topics": [
        "size_c.three_way_cross.model_3_a",
        "size_c.three_way_cross.model_3_axb",
        "size_c.three_way_mixed_ab_in_c.model_5_a",
        "size_c.three_way_mixed_ab_in_c.model_5_axb",
        "size_c.three_way_mixed_ab_in_c.model_5_b",
        "size_c.three_way_mixed_ab_in_c.model_6_b",
        "size_c.three_way_mixed_cxbina.model_5_a",
        "size_c.three_way_mixed_cxbina.model_5_b",
        "size_c.three_way_mixed_cxbina.model_7_b",
        "size_c.three_way_nested.model_5_a",
        "size_c.three_way_nested.model_5_b",
        "size_c.three_way_nested.model_7_b"
      ]
    },
    {
      "page": "size_n.one_way",
      "title": "Design for One-Way ANOVA",
      "topics": [
        "size_n.one_way.model_1"
      ]
    },
    {
      "page": "size_n.three_way",
      "title": "Design for Three-Way ANOVA",
      "topics": [
        "size_n.three_way_cross.model_1_a",
        "size_n.three_way_cross.model_1_axb",
        "size_n.three_way_cross.model_1_axbxc",
        "size_n.three_way_mixed_ab_in_c.model_1_a",
        "size_n.three_way_mixed_ab_in_c.model_1_axb",
        "size_n.three_way_mixed_ab_in_c.model_1_b",
        "size_n.three_way_mixed_ab_in_c.model_1_c",
        "size_n.three_way_mixed_ab_in_c.model_3_c",
        "size_n.three_way_mixed_ab_in_c.model_4_c",
        "size_n.three_way_mixed_cxbina.model_1_a",
        "size_n.three_way_mixed_cxbina.model_1_axc",
        "size_n.three_way_mixed_cxbina.model_1_b",
        "size_n.three_way_mixed_cxbina.model_1_bxc",
        "size_n.three_way_mixed_cxbina.model_1_c",
        "size_n.three_way_mixed_cxbina.model_3_b",
        "size_n.three_way_mixed_cxbina.model_3_bxc",
        "size_n.three_way_nested.model_1_a",
        "size_n.three_way_nested.model_1_b",
        "size_n.three_way_nested.model_1_c",
        "size_n.three_way_nested.model_3_b",
        "size_n.three_way_nested.model_3_c",
        "size_n.three_way_nested.model_4_a",
        "size_n.three_way_nested.model_8_c"
      ]
    },
    {
      "page": "size_n.two_way",
      "title": "Design for Two-Way ANOVA",
      "topics": [
        "size_n.two_way_cross.model_1_a",
        "size_n.two_way_cross.model_1_axb",
        "size_n.two_way_nested.a_random_b_fixed_b",
        "size_n.two_way_nested.model_1_test_factor_a",
        "size_n.two_way_nested.model_1_test_factor_b"
      ]
    },
    {
      "page": "size.anova",
      "title": "Design of Experiments for ANOVA",
      "topics": [
        "size.anova"
      ]
    },
    {
      "page": "triangular.test",
      "title": "Triangular Test Object",
      "topics": [
        "triangular.test"
      ]
    },
    {
      "page": "triangular.test.norm",
      "title": "Triangular Test for Normal Data",
      "topics": [
        "triangular.test.norm"
      ]
    },
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