{
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  "Package": "arenar",
  "Title": "Arena for the Exploration and Comparison of any ML Models",
  "Version": "0.2.0",
  "Authors@R": "c(person(\"Piotr\", \"Piątyszek\", role = c(\"aut\", \"cre\"),\nemail = \"piotrp@wektor.xyz\"),\nperson(\"Przemyslaw\", \"Biecek\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-8423-1823\")))",
  "Description": "Generates data for challenging machine learning models in\n'Arena' <https://arena.drwhy.ai> - an interactive web\napplication. You can start the server with XAI (Explainable\nArtificial Intelligence) plots to be generated on-demand or\nprecalculate and auto-upload data file beside shareable 'Arena'\nURL.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.1.1",
  "VignetteBuilder": "knitr",
  "URL": "https://arenar.drwhy.ai, https://github.com/ModelOriented/ArenaR",
  "BugReports": "https://github.com/ModelOriented/ArenaR/issues",
  "Config/pak/sysreqs": "cmake make libicu-dev libsodium-dev libuv1-dev\nlibssl-dev zlib1g-dev",
  "Repository": "https://modeloriented.r-universe.dev",
  "Date/Publication": "2020-09-30 23:12:33 UTC",
  "RemoteUrl": "https://github.com/modeloriented/arenar",
  "RemoteRef": "HEAD",
  "RemoteSha": "ee41adf479bb535476e796ab6fd446ac8c72600d",
  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
  },
  "Author": "Piotr Piątyszek [aut, cre],\nPrzemyslaw Biecek [aut] (ORCID:\n<https://orcid.org/0000-0001-8423-1823>)",
  "Maintainer": "Piotr Piątyszek <piotrp@wektor.xyz>",
  "_user": "modeloriented",
  "_type": "src",
  "_file": "arenar_0.2.0.tar.gz",
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  "_expires": "2026-10-23T13:38:02.000Z",
  "_created": "2026-07-15T13:33:55.000Z",
  "_published": "2026-07-15T13:38:04.282Z",
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  "_selfowned": true,
  "_usedby": 0,
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  "_tags": [],
  "_topics": [
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    "ema",
    "explainability",
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
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  "_homeurl": "https://github.com/modeloriented/arenar",
  "_realowner": "modeloriented",
  "_cranurl": true,
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      "date": "2020-07-27"
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      "date": "2020-10-01"
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    "push_dataset",
    "push_model",
    "push_observations",
    "run_server",
    "save_arena",
    "upload_arena"
  ],
  "_help": [
    {
      "page": "calculate_subsets_performance",
      "title": "Internal function for calculating data for funnel plot",
      "topics": [
        "calculate_subsets_performance"
      ]
    },
    {
      "page": "create_arena",
      "title": "Creates arena object",
      "topics": [
        "create_arena"
      ]
    },
    {
      "page": "get_accumulated_dependence",
      "title": "Internal function for calculating Accumulated Dependence",
      "topics": [
        "get_accumulated_dependence"
      ]
    },
    {
      "page": "get_attributes",
      "title": "Returns attributes for all params",
      "topics": [
        "get_attributes"
      ]
    },
    {
      "page": "get_break_down",
      "title": "Internal function for calculating Break Down",
      "topics": [
        "get_break_down"
      ]
    },
    {
      "page": "get_ceteris_paribus",
      "title": "Internal function for calculating Ceteris Paribus",
      "topics": [
        "get_ceteris_paribus"
      ]
    },
    {
      "page": "get_dataset_attributes",
      "title": "Generates list with attributes of a dataset",
      "topics": [
        "get_dataset_attributes"
      ]
    },
    {
      "page": "get_dataset_plots",
      "title": "Internal function for calculating exploratory data anaylysis plots",
      "topics": [
        "get_dataset_plots"
      ]
    },
    {
      "page": "get_datasets_list",
      "title": "Generates list of datasets' labels",
      "topics": [
        "get_datasets_list"
      ]
    },
    {
      "page": "get_fairness",
      "title": "Internal function for calculating fairness",
      "topics": [
        "get_fairness"
      ]
    },
    {
      "page": "get_feature_importance",
      "title": "Internal function for calculating feature importance",
      "topics": [
        "get_feature_importance"
      ]
    },
    {
      "page": "get_funnel_measure",
      "title": "Internal function for calculating funnel measure",
      "topics": [
        "get_funnel_measure"
      ]
    },
    {
      "page": "get_global_plots",
      "title": "Internal function for calculating global plots",
      "topics": [
        "get_global_plots"
      ]
    },
    {
      "page": "get_json_structure",
      "title": "Prepare object ready to change into json",
      "topics": [
        "get_json_structure"
      ]
    },
    {
      "page": "get_local_plots",
      "title": "Internal function for calculating local plots for all observations",
      "topics": [
        "get_local_plots"
      ]
    },
    {
      "page": "get_message_output",
      "title": "Internal function for returning message as plot data",
      "topics": [
        "get_message_output"
      ]
    },
    {
      "page": "get_metrics",
      "title": "Internal function for calculating model performance metrics",
      "topics": [
        "get_metrics"
      ]
    },
    {
      "page": "get_model_attributes",
      "title": "Generates list with attributes of a model",
      "topics": [
        "get_model_attributes"
      ]
    },
    {
      "page": "get_observation_attributes",
      "title": "Generates list with attributes of an observation",
      "topics": [
        "get_observation_attributes"
      ]
    },
    {
      "page": "get_observations_list",
      "title": "Generates list of rownames of each observation from each batch",
      "topics": [
        "get_observations_list"
      ]
    },
    {
      "page": "get_partial_dependence",
      "title": "Internal function for calculating Partial Dependence",
      "topics": [
        "get_partial_dependence"
      ]
    },
    {
      "page": "get_rec",
      "title": "Internal function for calculating regression error characteristic",
      "topics": [
        "get_rec"
      ]
    },
    {
      "page": "get_roc",
      "title": "Internal function for calculating receiver operating curve",
      "topics": [
        "get_roc"
      ]
    },
    {
      "page": "get_shap_values",
      "title": "Internal function for calculating Shapley Values",
      "topics": [
        "get_shap_values"
      ]
    },
    {
      "page": "get_subsets_performance",
      "title": "Internal function for calculating subset performance",
      "topics": [
        "get_subsets_performance"
      ]
    },
    {
      "page": "get_variable_against_another",
      "title": "Internal function for variable against another plot",
      "topics": [
        "get_variable_against_another"
      ]
    },
    {
      "page": "get_variable_attributes",
      "title": "Generates list with attributes of an variable",
      "topics": [
        "get_variable_attributes"
      ]
    },
    {
      "page": "get_variable_distribution",
      "title": "Internal function for variable distribution",
      "topics": [
        "get_variable_distribution"
      ]
    },
    {
      "page": "get_variables_list",
      "title": "Generates list of unique variables(without target) from each explainer and dataset",
      "topics": [
        "get_variables_list"
      ]
    },
    {
      "page": "print.arena_live",
      "title": "Prints live arena summary",
      "topics": [
        "print.arena_live"
      ]
    },
    {
      "page": "print.arena_static",
      "title": "Prints static arena summary",
      "topics": [
        "print.arena_static"
      ]
    },
    {
      "page": "push_dataset",
      "title": "Adds new datasets to Arena",
      "topics": [
        "push_dataset"
      ]
    },
    {
      "page": "push_model",
      "title": "Adds model to arena",
      "topics": [
        "push_model"
      ]
    },
    {
      "page": "push_observations",
      "title": "Adds new observations to arena",
      "topics": [
        "push_observations"
      ]
    },
    {
      "page": "run_server",
      "title": "Run server providing data for live Arena",
      "topics": [
        "run_server"
      ]
    },
    {
      "page": "save_arena",
      "title": "Save generated json file from static arena",
      "topics": [
        "save_arena"
      ]
    },
    {
      "page": "split_multiclass_explainer",
      "title": "Splits multiclass explainer into multiple classification explainers",
      "topics": [
        "split_multiclass_explainer"
      ]
    },
    {
      "page": "truncate_vector",
      "title": "Internal function for pretty truncationg params list",
      "topics": [
        "truncate_vector"
      ]
    },
    {
      "page": "upload_arena",
      "title": "Upload generated json file from static arena",
      "topics": [
        "upload_arena"
      ]
    },
    {
      "page": "validate_new_dataset",
      "title": "Checks if it is safe do add new dataset to the arena object",
      "topics": [
        "validate_new_dataset"
      ]
    },
    {
      "page": "validate_new_model",
      "title": "Checks if it is safe do add a new model to the arena object",
      "topics": [
        "validate_new_model"
      ]
    },
    {
      "page": "validate_new_observations",
      "title": "Checks if it is safe do add new observations to the arena object",
      "topics": [
        "validate_new_observations"
      ]
    }
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