{
  "_id": "6ac91b51de46216d5edd9af0",
  "Package": "mcmodule",
  "Title": "Modular Monte Carlo Risk Analysis",
  "Version": "1.3.1.9000",
  "Authors@R": "c(\nperson(\"Natalia\", \"Ciria\", , \"nataliaciria@hotmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0006-2669-6634\")),\nperson(\"Alberto\", \"Allepuz\", , ,\nrole = c(\"ths\"),\ncomment = c(ORCID = \"0000-0003-3518-1991\")),\nperson(\"Giovanna\", \"Ciaravino\", , ,\nrole = c(\"ths\"),\ncomment = c(ORCID = \"0000-0002-5796-8093\"))\n)",
  "Description": "Framework for building modular Monte Carlo risk analysis\nmodels. It extends the capabilities of 'mc2d' to facilitate\nworking with multiple risk pathways, variates and scenarios. It\nprovides tools to organize risk analysis in independent\nflexible modules, align multivariate mcnodes, automate the\ncreation of mcnodes, visualise model structure, assess\nconvergence, and perform sensitivity analysis. For more details\nsee Ciria (2026) <https://nataliaciria.com/mcmodule/>.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "URL": "https://nataliaciria.com/mcmodule/,\nhttps://github.com/NataliaCiria/mcmodule",
  "BugReports": "https://github.com/NataliaCiria/mcmodule/issues",
  "Config/testthat/edition": "3",
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  "Repository": "https://nataliaciria.r-universe.dev",
  "Date/Publication": "2026-10-09 15:32:20 UTC",
  "RemoteUrl": "https://github.com/nataliaciria/mcmodule",
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  "Packaged": {
    "Date": "2026-10-09 16:32:20 UTC",
    "User": "root"
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  "Author": "Natalia Ciria [aut, cre, cph] (ORCID:\n<https://orcid.org/0009-0006-2669-6634>),\nAlberto Allepuz [ths] (ORCID: <https://orcid.org/0000-0003-3518-1991>),\nGiovanna Ciaravino [ths] (ORCID:\n<https://orcid.org/0000-0002-5796-8093>)",
  "Maintainer": "Natalia Ciria <nataliaciria@hotmail.com>",
  "_user": "nataliaciria",
  "_type": "src",
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  "_expires": "2027-01-17T16:50:23.000Z",
  "_created": "2026-10-09T16:32:20.000Z",
  "_published": "2026-10-09T16:50:25.718Z",
  "_buildurl": "https://github.com/r-universe/nataliaciria/actions/runs/37959404873",
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  "_host": "GitHub-Actions",
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    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #112 from NataliaCiria/111-eval-module-duplicate-nodes\n\nFix duplicate node entries in eval_module() across expressions",
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    "add_prefix",
    "agg_totals",
    "agg_variates",
    "at_least_one",
    "combine_modules",
    "create_mcnodes",
    "eval_module",
    "get_edge_table",
    "get_node_table",
    "matrix_to_mcnodes",
    "mc_compare",
    "mc_filter",
    "mc_keys",
    "mc_match",
    "mc_match_data",
    "mc_network",
    "mc_plot",
    "mc_summary",
    "mcmodule_converg",
    "mcmodule_corr",
    "mcmodule_info",
    "mcmodule_tornado",
    "mcnode_na_rm",
    "mcnode_null_rm",
    "mctable_bounds",
    "mctable_sobol_matrices",
    "optim_ndvar",
    "reset_data_keys",
    "reset_mctable",
    "reset_sample_design",
    "set_data_keys",
    "set_mctable",
    "set_sample_design",
    "tidy_mcnode",
    "trial_totals",
    "which_mcnode",
    "which_mcnode_inf",
    "which_mcnode_na",
    "wif_match"
  ],
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      "name": "animal_imports",
      "title": "Animal Import Data",
      "object": "animal_imports",
      "class": [
        "data.frame"
      ],
      "fields": [
        "origin",
        "farms_n",
        "animals_n_mean",
        "animals_n_sd"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "imports_data",
      "title": "Merged Animal Import Data",
      "object": "imports_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "pathogen",
        "origin",
        "test_origin",
        "h_prev_min",
        "h_prev_max",
        "w_prev_min",
        "w_prev_max",
        "farms_n",
        "animals_n_mean",
        "animals_n_sd",
        "test_sensi_min",
        "test_sensi_mode",
        "test_sensi_max"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "imports_data_keys",
      "title": "Data Keys for the Animal Import Example",
      "object": "imports_data_keys",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "imports_exp",
      "title": "Model Expression for the Animal Import Example",
      "object": "imports_exp",
      "class": [
        "{"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "imports_mcmodule",
      "title": "Example Monte Carlo Module for Animal Imports",
      "object": "imports_mcmodule",
      "class": [
        "mcmodule"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "imports_mctable",
      "title": "Monte Carlo Node Specifications for the Animal Import Example",
      "object": "imports_mctable",
      "class": [
        "data.frame"
      ],
      "fields": [
        "mcnode",
        "description",
        "mc_func",
        "from_variable",
        "transformation",
        "sensi_variation",
        "sample_space"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "intrusion_exp",
      "title": "Intrusion-Pathway Expression for the Water Supply Example",
      "object": "intrusion_exp",
      "class": [
        "{"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "prevalence_region",
      "title": "Regional Pathogen Prevalence Data",
      "object": "prevalence_region",
      "class": [
        "data.frame"
      ],
      "fields": [
        "pathogen",
        "origin",
        "h_prev_min",
        "h_prev_max",
        "w_prev_min",
        "w_prev_max",
        "test_origin"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_sensitivity",
      "title": "Diagnostic Test Sensitivity Data",
      "object": "test_sensitivity",
      "class": [
        "data.frame"
      ],
      "fields": [
        "pathogen",
        "test_sensi_min",
        "test_sensi_mode",
        "test_sensi_max"
      ],
      "rows": 2,
      "table": true,
      "tojson": true
    },
    {
      "name": "treatment_exp",
      "title": "Treatment-Pathway Expression for the Water Supply Example",
      "object": "treatment_exp",
      "class": [
        "{"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "water_data",
      "title": "Water Supply Example Data",
      "object": "water_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "zone",
        "scenario_id",
        "population",
        "source_conc_min",
        "source_conc_mode",
        "source_conc_max",
        "treatment_lrv_min",
        "treatment_lrv_mode",
        "treatment_lrv_max",
        "water_volume",
        "intrusion_prob",
        "intrusion_conc_min",
        "intrusion_conc_max",
        "dose_response_r",
        "exposure_days"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "water_data_keys",
      "title": "Data Keys for the Water Supply Example",
      "object": "water_data_keys",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "water_group_data",
      "title": "Water Supply Example Data by Consumption Group",
      "object": "water_group_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "zone",
        "consumption_group",
        "scenario_id",
        "population",
        "source_conc_min",
        "source_conc_mode",
        "source_conc_max",
        "treatment_lrv_min",
        "treatment_lrv_mode",
        "treatment_lrv_max",
        "water_volume",
        "intrusion_prob",
        "intrusion_conc_min",
        "intrusion_conc_max",
        "dose_response_r",
        "exposure_days"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "water_group_data_keys",
      "title": "Data Keys for the Consumption-Group Water Example",
      "object": "water_group_data_keys",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "water_mctable",
      "title": "Monte Carlo Node Specifications for the Water Supply Example",
      "object": "water_mctable",
      "class": [
        "data.frame"
      ],
      "fields": [
        "mcnode",
        "description",
        "mc_func",
        "from_variable",
        "transformation",
        "sensi_variation",
        "sample_space"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_prefix",
      "title": "Add Prefix to mcnode Names",
      "topics": [
        "add_prefix"
      ]
    },
    {
      "page": "agg_totals",
      "title": "Aggregate mcnode Values Across Groups (Deprecated)",
      "topics": [
        "agg_totals"
      ]
    },
    {
      "page": "agg_variates",
      "title": "Aggregate mcnode Values Across Groups",
      "topics": [
        "agg_variates"
      ]
    },
    {
      "page": "animal_imports",
      "title": "Animal Import Data",
      "topics": [
        "animal_imports"
      ]
    },
    {
      "page": "at_least_one",
      "title": "Combine Probabilities Assuming Independence",
      "topics": [
        "at_least_one"
      ]
    },
    {
      "page": "check_mctable",
      "title": "Validate and Prepare mctable Data Frame",
      "topics": [
        "check_mctable"
      ]
    },
    {
      "page": "combine_modules",
      "title": "Combine Two mcmodule Objects",
      "topics": [
        "combine_modules"
      ]
    },
    {
      "page": "create_mcnodes",
      "title": "Create mcnodes from Data and Configuration Table",
      "topics": [
        "create_mcnodes"
      ]
    },
    {
      "page": "eval_module",
      "title": "Evaluate Monte Carlo Model Expressions",
      "topics": [
        "eval_module"
      ]
    },
    {
      "page": "get_edge_table",
      "title": "Generate Edge Table for Network Visualisation",
      "topics": [
        "get_edge_table"
      ]
    },
    {
      "page": "get_mcmodule_nodes",
      "title": "Get Nodes from Monte Carlo Module",
      "topics": [
        "get_mcmodule_nodes"
      ]
    },
    {
      "page": "get_node_list",
      "title": "Create Node List from Model Expression",
      "topics": [
        "get_node_list"
      ]
    },
    {
      "page": "get_node_table",
      "title": "Generate Node Table for Network Visualisation",
      "topics": [
        "get_node_table"
      ]
    },
    {
      "page": "imports_data",
      "title": "Merged Animal Import Data",
      "topics": [
        "imports_data"
      ]
    },
    {
      "page": "imports_data_keys",
      "title": "Data Keys for the Animal Import Example",
      "topics": [
        "imports_data_keys"
      ]
    },
    {
      "page": "imports_exp",
      "title": "Model Expression for the Animal Import Example",
      "topics": [
        "imports_exp"
      ]
    },
    {
      "page": "imports_mcmodule",
      "title": "Example Monte Carlo Module for Animal Imports",
      "topics": [
        "imports_mcmodule"
      ]
    },
    {
      "page": "imports_mctable",
      "title": "Monte Carlo Node Specifications for the Animal Import Example",
      "topics": [
        "imports_mctable"
      ]
    },
    {
      "page": "intrusion_exp",
      "title": "Intrusion-Pathway Expression for the Water Supply Example",
      "topics": [
        "intrusion_exp"
      ]
    },
    {
      "page": "keys_match",
      "title": "Match and Align Keys Between Datasets",
      "topics": [
        "keys_match"
      ]
    },
    {
      "page": "matrix_to_mcnodes",
      "title": "Create mcnodes from Matrix/Data Frame",
      "topics": [
        "matrix_to_mcnodes"
      ]
    },
    {
      "page": "mc_compare",
      "title": "Compare Monte Carlo Node Against Baseline Scenario",
      "topics": [
        "mc_compare"
      ]
    },
    {
      "page": "mc_filter",
      "title": "Filter mcnode Variates by Condition",
      "topics": [
        "mc_filter"
      ]
    },
    {
      "page": "mc_keys",
      "title": "Extract Key Columns from Monte Carlo Nodes",
      "topics": [
        "mc_keys"
      ]
    },
    {
      "page": "mc_match",
      "title": "Match Two Monte Carlo Nodes",
      "topics": [
        "mc_match"
      ]
    },
    {
      "page": "mc_match_data",
      "title": "Match Monte Carlo Node with Data Frame",
      "topics": [
        "mc_match_data"
      ]
    },
    {
      "page": "mc_network",
      "title": "Create Interactive Network Visualisation",
      "topics": [
        "mc_network"
      ]
    },
    {
      "page": "mc_plot",
      "title": "Plot Monte Carlo Node Distribution with Boxplot and Scatter Points",
      "topics": [
        "mc_plot"
      ]
    },
    {
      "page": "mc_summary",
      "title": "Summarise Monte Carlo Node Values",
      "topics": [
        "mc_summary"
      ]
    },
    {
      "page": "mcmodule_converg",
      "title": "Analyse Monte Carlo Simulation Convergence",
      "topics": [
        "mcmodule_converg"
      ]
    },
    {
      "page": "mcmodule_corr",
      "title": "Calculate Correlation Coefficients Between Inputs and Outputs",
      "topics": [
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