{
  "_id": "6a60a362c766cc6deb6aa0a7",
  "Package": "optedr",
  "Title": "Calculating Optimal and D-Augmented Designs for Single- and\nMulti-Factor Models",
  "Version": "3.0.2.9000",
  "Authors@R": "c(person(given = \"Carlos\",\nfamily = \"de la Calle-Arroyo\",\nrole = c(\"aut\", \"cre\"),\nemail = \"carlos.calle.arroyo@gmail.com\",\ncomment = c(ORCID = \"0000-0002-5099-888X\")),\nperson(given = \"Jesús\",\nfamily = \"López-Fidalgo\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-7502-8188\")),\nperson(given = \"Licesio J.\",\nfamily = \"Rodríguez-Aragón\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-4970-3877\"))\n)",
  "Description": "Calculates D-, Ds-, A-, I- and L-optimal designs, weighted\ncombinations of these via a Compound criterion, and KL-optimal\ndesigns for model discrimination, for non-linear single- and\nmulti-factor models, via an implementation of the cocktail\nalgorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>).\nMulti-factor models use design variables x1, x2, … with a\nnamed-list design space; single-factor models remain backward\ncompatible. Compares designs via their efficiency, augments any\ndesign with a controlled efficiency loss, and provides\nefficient rounding functions to convert approximate designs to\nexact ones.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "URL": "https://github.com/kezrael/optedr,\nhttps://github.com/Kezrael/optedr",
  "BugReports": "https://github.com/Kezrael/optedr/issues",
  "Roxygen": "list(markdown = TRUE)",
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  "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev",
  "Repository": "https://kezrael.r-universe.dev",
  "Date/Publication": "2026-07-22 10:06:53 UTC",
  "RemoteUrl": "https://github.com/kezrael/optedr",
  "RemoteRef": "HEAD",
  "RemoteSha": "5c2483df6a0858e660a59adc5db14dfad84878fd",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-22 10:57:48 UTC",
    "User": "root"
  },
  "Author": "Carlos de la Calle-Arroyo [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-5099-888X>),\nJesús López-Fidalgo [aut] (ORCID:\n<https://orcid.org/0000-0001-7502-8188>),\nLicesio J. Rodríguez-Aragón [aut] (ORCID:\n<https://orcid.org/0000-0003-4970-3877>)",
  "Maintainer": "Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>",
  "_user": "kezrael",
  "_type": "src",
  "_file": "optedr_3.0.2.9000.tar.gz",
  "_fileid": "https://r2.ropensci.org/3b655f87328a8b93ebe933cb7f9001a38b5f0e3205b3a504205d3ef3dd0a613f",
  "_filesize": 2230103,
  "_sha256": "3b655f87328a8b93ebe933cb7f9001a38b5f0e3205b3a504205d3ef3dd0a613f",
  "_expires": "2026-10-30T11:02:56.000Z",
  "_created": "2026-07-22T10:57:48.000Z",
  "_published": "2026-07-22T11:02:58.652Z",
  "_jobs": [
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      "check": "OK",
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  "_buildurl": "https://github.com/r-universe/kezrael/actions/runs/29913632192",
  "_status": "success",
  "_upstream": "https://github.com/kezrael/optedr",
  "_commit": {
    "id": "5c2483df6a0858e660a59adc5db14dfad84878fd",
    "author": "Kezrael <drake.7.k@gmail.com>",
    "committer": "Kezrael <drake.7.k@gmail.com>",
    "message": "Fix weight loss in update_design_total() when merging points\n\nupdate_design_total() reinserted a removed row's own weight via\nupdate_design(), which additionally rescales the *rest* of the design\nby (1 - new_weight). That rescale is correct when adding a genuinely\nnew point (the main cocktail-algorithm use case), but wrong when\nre-merging a point just removed from the same design -- the remaining\nweights already reflect the correct post-removal mass. The result\nsilently lost Weight[i] * (1 - Weight[i]) of total weight on every such\nmerge, most visibly with a large join_thresh (small values rarely\ntrigger the merge, which is why this went unnoticed).\n\nFactor the merge/append logic into an internal .merge_or_add_point()\nhelper that does not rescale, used directly by update_design_total();\nupdate_design() keeps its rescale-then-merge behaviour for its main-loop\ncallers. Add regression tests covering the single merge, chained merges,\nand no-merge cases.\n",
    "time": 1784714813
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  "_maintainer": {
    "name": "Carlos de la Calle-Arroyo",
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  "_realowner": "kezrael",
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  "_releases": [
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      "version": "1.0.0",
      "date": "2021-12-01"
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    {
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  "_exports": [
    "augment_design",
    "combinatorial_round",
    "design_efficiency",
    "efficient_round",
    "get_augment_region",
    "make_glm_family",
    "make_kl_fun",
    "opt_des",
    "shiny_augment",
    "shiny_optimal"
  ],
  "_help": [
    {
      "page": "add_design",
      "title": "Add two designs",
      "topics": [
        "add_design"
      ]
    },
    {
      "page": "add_points",
      "title": "Update design given crosspoints and alpha",
      "topics": [
        "add_points"
      ]
    },
    {
      "page": "augment_design",
      "title": "Augment Design",
      "topics": [
        "augment_design"
      ]
    },
    {
      "page": "check_inputs",
      "title": "Check Inputs",
      "topics": [
        "check_inputs"
      ]
    },
    {
      "page": "combinatorial_round",
      "title": "Combinatorial round",
      "topics": [
        "combinatorial_round"
      ]
    },
    {
      "page": "crit",
      "title": "Master function for the criterion function",
      "topics": [
        "crit"
      ]
    },
    {
      "page": "crosspoints",
      "title": "Calculate crosspoints",
      "topics": [
        "crosspoints"
      ]
    },
    {
      "page": "CWFMult",
      "title": "Cocktail Algorithm implementation for Compound Optimality",
      "concept": [
        "cocktail algorithms"
      ],
      "topics": [
        "CWFMult"
      ]
    },
    {
      "page": "daugment_design",
      "title": "D-Augment Design",
      "concept": [
        "augment designs"
      ],
      "topics": [
        "daugment_design"
      ]
    },
    {
      "page": "dcrit",
      "title": "Criterion function for D-Optimality",
      "topics": [
        "dcrit"
      ]
    },
    {
      "page": "delete_points",
      "title": "Remove low weight points",
      "topics": [
        "delete_points"
      ]
    },
    {
      "page": "design_efficiency",
      "title": "Efficiency between optimal design and a user given design",
      "topics": [
        "design_efficiency"
      ]
    },
    {
      "page": "detect_design_vars",
      "title": "Detect design variables from a model formula",
      "topics": [
        "detect_design_vars"
      ]
    },
    {
      "page": "dsaugment_design",
      "title": "Ds-Augment Design",
      "concept": [
        "augment designs"
      ],
      "topics": [
        "dsaugment_design"
      ]
    },
    {
      "page": "dscrit",
      "title": "Criterion function for Ds-Optimality",
      "topics": [
        "dscrit"
      ]
    },
    {
      "page": "dsens",
      "title": "Sensitivity function for D-Optimality",
      "topics": [
        "dsens"
      ]
    },
    {
      "page": "dssens",
      "title": "Sensitivity function for Ds-Optimality",
      "topics": [
        "dssens"
      ]
    },
    {
      "page": "DsWFMult",
      "title": "Cocktail Algorithm implementation for Ds-Optimality",
      "concept": [
        "cocktail algorithms"
      ],
      "topics": [
        "DsWFMult"
      ]
    },
    {
      "page": "DWFMult",
      "title": "Cocktail Algorithm implementation for D-Optimality",
      "concept": [
        "cocktail algorithms"
      ],
      "topics": [
        "DWFMult"
      ]
    },
    {
      "page": "eff",
      "title": "Efficiency between two Information Matrices",
      "topics": [
        "eff"
      ]
    },
    {
      "page": "efficient_round",
      "title": "Efficient Round",
      "topics": [
        "efficient_round"
      ]
    },
    {
      "page": "findmax",
      "title": "Find Maximum",
      "topics": [
        "findmax"
      ]
    },
    {
      "page": "findmaxval",
      "title": "Find Maximum Value",
      "topics": [
        "findmaxval"
      ]
    },
    {
      "page": "findminval",
      "title": "Find Minimum Value",
      "topics": [
        "findminval"
      ]
    },
    {
      "page": "get_augment_region",
      "title": "Get Augment Regions",
      "topics": [
        "get_augment_region"
      ]
    },
    {
      "page": "get_daugment_region",
      "title": "Get D-augment region",
      "concept": [
        "augment regions"
      ],
      "topics": [
        "get_daugment_region"
      ]
    },
    {
      "page": "get_dsaugment_region",
      "title": "Get Ds-augment region",
      "concept": [
        "augment region"
      ],
      "topics": [
        "get_dsaugment_region"
      ]
    },
    {
      "page": "get_laugment_region",
      "title": "Get L-augment region",
      "concept": [
        "augment region"
      ],
      "topics": [
        "get_laugment_region"
      ]
    },
    {
      "page": "getCross2",
      "title": "Give effective limits to candidate points region",
      "topics": [
        "getCross2"
      ]
    },
    {
      "page": "getPar",
      "title": "Parity of the crosspoints",
      "topics": [
        "getPar"
      ]
    },
    {
      "page": "getStart",
      "title": "Find where the candidate points region starts",
      "topics": [
        "getStart"
      ]
    },
    {
      "page": "gradient",
      "title": "Gradient function",
      "topics": [
        "gradient"
      ]
    },
    {
      "page": "gradient22",
      "title": "Gradient function for a subset of variables",
      "topics": [
        "gradient22"
      ]
    },
    {
      "page": "icrit",
      "title": "Criterion function for I-Optimality and L-Optimality",
      "topics": [
        "icrit"
      ]
    },
    {
      "page": "inf_mat",
      "title": "Information Matrix",
      "topics": [
        "inf_mat"
      ]
    },
    {
      "page": "integrate_reg_int",
      "title": "Integrate IM",
      "topics": [
        "integrate_reg_int"
      ]
    },
    {
      "page": "isens",
      "title": "Sensitivity function for I-Optimality",
      "topics": [
        "isens"
      ]
    },
    {
      "page": "IWFMult",
      "title": "Cocktail Algorithm implementation for L-, I- and A-Optimality",
      "concept": [
        "cocktail algorithms"
      ],
      "topics": [
        "IWFMult"
      ]
    },
    {
      "page": "KLWFMult",
      "title": "Cocktail Algorithm for KL-Optimality",
      "concept": [
        "cocktail algorithms"
      ],
      "topics": [
        "KLWFMult"
      ]
    },
    {
      "page": "laugment_design",
      "title": "L-Augment Design",
      "concept": [
        "augment designs"
      ],
      "topics": [
        "laugment_design"
      ]
    },
    {
      "page": "make_glm_family",
      "title": "GLM family specification for KL-Optimality",
      "topics": [
        "make_glm_family"
      ]
    },
    {
      "page": "make_kl_fun",
      "title": "Build a KL-divergence point function for use with opt_des()",
      "topics": [
        "make_kl_fun"
      ]
    },
    {
      "page": "opt_des",
      "title": "Calculates the optimal design for a specified criterion",
      "topics": [
        "opt_des"
      ]
    },
    {
      "page": "plot_convergence",
      "title": "Plot Convergence of the algorithm",
      "topics": [
        "plot_convergence"
      ]
    },
    {
      "page": "plot_sens",
      "title": "Plot sensitivity function",
      "topics": [
        "plot_sens"
      ]
    },
    {
      "page": "plot.optdes",
      "title": "Plot function for optdes",
      "topics": [
        "plot.optdes"
      ]
    },
    {
      "page": "print.augment_region",
      "title": "Print method for augment_region objects",
      "topics": [
        "print.augment_region"
      ]
    },
    {
      "page": "print.optdes",
      "title": "Print function for optdes",
      "topics": [
        "print.optdes"
      ]
    },
    {
      "page": "sens",
      "title": "Master function to calculate the sensitivity function",
      "topics": [
        "sens"
      ]
    },
    {
      "page": "shiny_augment",
      "title": "Shiny D-augment",
      "topics": [
        "shiny_augment"
      ]
    },
    {
      "page": "shiny_optimal",
      "title": "Shiny Optimal",
      "topics": [
        "shiny_optimal"
      ]
    },
    {
      "page": "summary.optdes",
      "title": "Summary function for optdes",
      "topics": [
        "summary.optdes"
      ]
    },
    {
      "page": "tr",
      "title": "Trace",
      "topics": [
        "tr"
      ]
    },
    {
      "page": "update_design",
      "title": "Update Design with new point",
      "topics": [
        "update_design"
      ]
    },
    {
      "page": "update_design_total",
      "title": "Merge close points of a design",
      "topics": [
        "update_design_total"
      ]
    },
    {
      "page": "update_sequence",
      "title": "Deletes duplicates points",
      "topics": [
        "update_sequence"
      ]
    },
    {
      "page": "update_weights",
      "title": "Update weight D-Optimality",
      "topics": [
        "update_weights"
      ]
    },
    {
      "page": "update_weightsDS",
      "title": "Update weight Ds-Optimality",
      "topics": [
        "update_weightsDS"
      ]
    },
    {
      "page": "update_weightsI",
      "title": "Update weight I-Optimality",
      "topics": [
        "update_weightsI"
      ]
    },
    {
      "page": "weight_function",
      "title": "Weight function per distribution",
      "topics": [
        "weight_function"
      ]
    },
    {
      "page": "WFMult",
      "title": "Master function for the cocktail algorithm, that calls the appropriate one given the criterion.",
      "concept": [
        "cocktail algorithms"
      ],
      "topics": [
        "WFMult"
      ]
    }
  ],
  "_readme": "https://github.com/kezrael/optedr/raw/HEAD/README.md",
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  "_vignettes": [
    {
      "source": "optedr-augment.Rmd",
      "filename": "optedr-augment.html",
      "title": "Augmenting designs with controlled efficiency loss",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Motivation",
        "Key parameters",
        "One-factor augmentation",
        "Step 1: compute the candidate region",
        "Step 2: choose a point and augment",
        "Comparing efficiency before and after",
        "Using the optimal design as reference (calc_optimal_design = TRUE)",
        "Two-factor augmentation",
        "Initial design and candidate region",
        "Three-factor augmentation",
        "Augmenting with Ds-Optimality",
        "Interactive mode"
      ],
      "created": "2026-06-22 12:21:33",
      "modified": "2026-06-22 12:21:33",
      "commits": 1
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    {
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        "The optimal design problem",
        "A first example: D-Optimality in one factor",
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        "Ds-Optimality",
        "A-Optimality",
        "I-Optimality",
        "L-Optimality",
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        "Using make_kl_fun() for custom KL functions",
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