{
  "_id": "6a59dfea09eb0996dd68ef9b",
  "Package": "epiworldR",
  "Type": "Package",
  "Title": "Fast Agent-Based Epi Models",
  "Version": "0.15.1-0",
  "Authors@R": "c(\nperson(given=\"George\", family=\"Vega Yon\", role=c(\"aut\", \"cre\"),\nemail=\"g.vegayon@gmail.com\", comment = c(ORCID = \"0000-0002-3171-0844\")),\nperson(given=\"Derek\", family=\"Meyer\", role=c(\"aut\"),\nemail=\"derekmeyer37@gmail.com\", comment = c(ORCID = \"0009-0005-1350-6988\")),\nperson(given=\"Andrew\", family=\"Pulsipher\", role=c(\"aut\"),\nemail=\"pulsipher.a@gmail.com\", comment = c(ORCID = \"0000-0002-0773-3210\")),\nperson(given=\"Susan\", family=\"Holmes\", role = \"rev\", comment =\nc(what = \"JOSS reviewer\", ORCID=\"0000-0002-2208-8168\")),\nperson(given=\"Abinash\", family=\"Satapathy\", role = \"rev\", comment =\nc(what = \"JOSS reviewer\", ORCID=\"0000-0002-2955-2744\")),\nperson(given=\"Carinogurjao\", role = \"rev\"),\nperson(\"Centers for Disease Control and Prevention\", role=\"fnd\", comment = \"Award number 1U01CK000585; 75D30121F00003\"\n))",
  "Description": "A flexible framework for Agent-Based Models (ABM), the\n'epiworldR' package provides methods for prototyping disease\noutbreaks and transmission models using a 'C++' backend, making\nit very fast. It supports multiple epidemiological models,\nincluding the Susceptible-Infected-Susceptible (SIS),\nSusceptible-Infected-Removed (SIR),\nSusceptible-Exposed-Infected-Removed (SEIR), and others,\ninvolving arbitrary mitigation policies and multiple-disease\nmodels. Users can specify infectiousness/susceptibility rates\nas a function of agents' features, providing great complexity\nfor the model dynamics. Furthermore, 'epiworldR' is ideal for\nsimulation studies featuring large populations.",
  "URL": "https://github.com/UofUEpiBio/epiworldR,\nhttps://uofuepibio.github.io/epiworldR/,\nhttps://uofuepibio.github.io/epiworldR-workshop/",
  "BugReports": "https://github.com/UofUEpiBio/epiworldR/issues",
  "License": "MIT + file LICENSE",
  "RoxygenNote": "7.3.3",
  "Encoding": "UTF-8",
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  "SystemRequirements": "C++17",
  "VignetteBuilder": "quarto",
  "Repository": "https://uofuepibio.r-universe.dev",
  "Date/Publication": "2026-07-17 05:33:30 UTC",
  "RemoteUrl": "https://github.com/UofUEpiBio/epiworldR",
  "RemoteRef": "HEAD",
  "RemoteSha": "85a8317e64404ef0246b5d0f34e5099f25939969",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-07-17 07:45:47 UTC",
    "User": "root"
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  "Author": "George Vega Yon [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3171-0844>),\nDerek Meyer [aut] (ORCID: <https://orcid.org/0009-0005-1350-6988>),\nAndrew Pulsipher [aut] (ORCID: <https://orcid.org/0000-0002-0773-3210>),\nSusan Holmes [rev] (what: JOSS reviewer, ORCID:\n<https://orcid.org/0000-0002-2208-8168>),\nAbinash Satapathy [rev] (what: JOSS reviewer, ORCID:\n<https://orcid.org/0000-0002-2955-2744>),\nCarinogurjao [rev],\nCenters for Disease Control and Prevention [fnd] (Award number\n1U01CK000585; 75D30121F00003)",
  "Maintainer": "George Vega Yon <g.vegayon@gmail.com>",
  "_user": "uofuepibio",
  "_type": "src",
  "_file": "epiworldR_0.15.1-0.tar.gz",
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  "_expires": "2026-10-25T07:55:19.000Z",
  "_created": "2026-07-17T07:45:47.000Z",
  "_published": "2026-07-17T07:55:22.055Z",
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    "author": "George G. Vega Yon <g.vegayon@gmail.com>",
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    "message": "Minor update\n",
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    "abm",
    "agent-based-modeling",
    "covid-19",
    "epidemics",
    "epidemiology",
    "r-programming",
    "rpack",
    "rpkg",
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/epiworldR.html",
    "extra/NEWS.html",
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    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
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  "_homeurl": "https://github.com/uofuepibio/epiworldr",
  "_realowner": "uofuepibio",
  "_cranurl": true,
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      "date": "2023-06-22"
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  "_exports": [
    "add_entities_from_dataframe",
    "add_entity",
    "add_globalevent",
    "add_param",
    "add_state",
    "add_tool",
    "add_tool_agent",
    "add_tool_n",
    "add_virus",
    "add_virus_agent",
    "add_virus_n",
    "agents_from_edgelist",
    "agents_sbm",
    "agents_smallworld",
    "change_state",
    "clone_model",
    "compute_reproduction_number",
    "compute_ts_ci_area",
    "distribute_entity_randomly",
    "distribute_entity_to_set",
    "distribute_tool_randomly",
    "distribute_tool_to_entities",
    "distribute_tool_to_set",
    "distribute_virus_randomly",
    "distribute_virus_set",
    "distribute_virus_to_entities",
    "distribute_virus_to_set",
    "draw_mermaid",
    "draw_mermaid_from_data",
    "draw_mermaid_from_file",
    "draw_mermaid_from_files",
    "draw_mermaid_from_matrix",
    "entity",
    "entity_add_agent",
    "entity_get_agents",
    "epiworld_cpp_version",
    "get_active_cases",
    "get_agents",
    "get_agents_data_ncols",
    "get_agents_states",
    "get_agents_tools",
    "get_all_accepted_kernel_scores",
    "get_all_accepted_params",
    "get_all_accepted_stats",
    "get_all_sample_acceptance",
    "get_all_sample_drawn_prob",
    "get_all_sample_kernel_scores",
    "get_all_sample_params",
    "get_all_sample_stats",
    "get_contact_matrix",
    "get_current_accepted_params",
    "get_current_accepted_stats",
    "get_current_proposed_params",
    "get_current_proposed_stats",
    "get_entities",
    "get_entity_name",
    "get_entity_size",
    "get_generation_time",
    "get_hist_tool",
    "get_hist_total",
    "get_hist_transition_matrix",
    "get_hist_virus",
    "get_hospitalizations",
    "get_initial_params",
    "get_mean_params",
    "get_mean_stats",
    "get_n_params",
    "get_n_replicates",
    "get_n_samples",
    "get_n_stats",
    "get_n_tools",
    "get_n_viruses",
    "get_name",
    "get_name_tool",
    "get_name_virus",
    "get_ndays",
    "get_network",
    "get_observed_stats",
    "get_outbreak_size",
    "get_param",
    "get_reproductive_number",
    "get_state",
    "get_states",
    "get_today_total",
    "get_tool",
    "get_transition_probability",
    "get_transmissions",
    "get_virus",
    "globalaction_fun",
    "globalaction_set_params",
    "globalaction_tool",
    "globalaction_tool_logit",
    "globalevent_fun",
    "globalevent_set_params",
    "globalevent_tool",
    "globalevent_tool_logit",
    "has_tool",
    "has_virus",
    "initial_states",
    "LFMCMC",
    "load_agents_entities_ties",
    "make_saver",
    "Model",
    "ModelDiffNet",
    "ModelSEIR",
    "ModelSEIRCONN",
    "ModelSEIRD",
    "ModelSEIRDCONN",
    "ModelSEIRMixing",
    "ModelSEIRMixingQuarantine",
    "ModelSIR",
    "ModelSIRCONN",
    "ModelSIRD",
    "ModelSIRDCONN",
    "ModelSIRLogit",
    "ModelSIRMixing",
    "ModelSIS",
    "ModelSISD",
    "ModelSURV",
    "plot_generation_time",
    "plot_incidence",
    "plot_multiple_transition",
    "plot_reproductive_number",
    "queuing_off",
    "queuing_on",
    "rm_entity",
    "rm_globalevent",
    "rm_tool",
    "rm_virus",
    "run",
    "run_lfmcmc",
    "run_multiple",
    "run_multiple_get_results",
    "set_agents_data",
    "set_contact_matrix",
    "set_death_reduction",
    "set_death_reduction_fun",
    "set_death_reduction_ptr",
    "set_distribution_entity",
    "set_distribution_tool",
    "set_distribution_virus",
    "set_incubation",
    "set_incubation_fun",
    "set_incubation_ptr",
    "set_kernel_fun",
    "set_name",
    "set_name_tool",
    "set_name_virus",
    "set_observed_data",
    "set_param",
    "set_params_names",
    "set_prob_death",
    "set_prob_death_fun",
    "set_prob_death_ptr",
    "set_prob_infecting",
    "set_prob_infecting_fun",
    "set_prob_infecting_ptr",
    "set_prob_recovery",
    "set_prob_recovery_fun",
    "set_prob_recovery_ptr",
    "set_proposal_fun",
    "set_recovery_enhancer",
    "set_recovery_enhancer_fun",
    "set_recovery_enhancer_ptr",
    "set_simulation_fun",
    "set_state_function",
    "set_stats_names",
    "set_summary_fun",
    "set_susceptibility_reduction",
    "set_susceptibility_reduction_fun",
    "set_susceptibility_reduction_ptr",
    "set_transmission_reduction",
    "set_transmission_reduction_fun",
    "set_transmission_reduction_ptr",
    "size",
    "today",
    "tool",
    "tool_fun_logit",
    "update_fun_rate",
    "update_fun_susceptible",
    "use_kernel_fun_gaussian",
    "use_proposal_norm_reflective",
    "verbose_off",
    "verbose_on",
    "virus",
    "virus_fun_logit",
    "virus_set_state"
  ],
  "_help": [
    {
      "page": "add_entities_from_dataframe",
      "title": "Add entities to a model according to a data.frame",
      "concept": [
        "entity-functions"
      ],
      "topics": [
        "add_entities_from_dataframe"
      ]
    },
    {
      "page": "agents",
      "title": "Agents in epiworldR",
      "concept": [
        "model-utility-functions"
      ],
      "topics": [
        "agents",
        "epiworld_agent",
        "epiworld_agents",
        "get_agents",
        "get_agents.epiworld_model",
        "get_state",
        "print.epiworld_agent",
        "print.epiworld_agents",
        "[.epiworld_agents"
      ]
    },
    {
      "page": "agents_smallworld",
      "title": "Load agents to a model",
      "concept": [
        "model-utility-functions"
      ],
      "topics": [
        "add_tool_agent",
        "add_virus_agent",
        "agents_from_edgelist",
        "agents_smallworld",
        "change_state",
        "get_agents_states",
        "get_agents_tools",
        "get_network",
        "has_tool",
        "has_virus",
        "network"
      ]
    },
    {
      "page": "compute_reproduction_number",
      "title": "Compute a reproduction number from a daily contact matrix with group-specific infectiousness and susceptibility",
      "topics": [
        "compute_reproduction_number"
      ]
    },
    {
      "page": "compute_ts_ci_area",
      "title": "Compute time-series confidence intervals area",
      "concept": [
        "misc-functions"
      ],
      "topics": [
        "compute_ts_ci_area"
      ]
    },
    {
      "page": "entities",
      "title": "Get entities",
      "concept": [
        "entity-functions"
      ],
      "topics": [
        "add_entity",
        "distribute_entity_randomly",
        "distribute_entity_to_set",
        "entities",
        "entity",
        "entity_add_agent",
        "entity_get_agents",
        "get_entities",
        "get_entity_name",
        "get_entity_size",
        "load_agents_entities_ties",
        "rm_entity",
        "set_distribution_entity",
        "[.epiworld_entities"
      ]
    },
    {
      "page": "epiworld-gentime",
      "title": "Generation time",
      "concept": [
        "Epidemiological metrics",
        "model-utility-functions"
      ],
      "topics": [
        "epiworld-gentime",
        "epiworld_generation_time",
        "get_generation_time",
        "plot.epiworld_generation_time",
        "plot_generation_time"
      ]
    },
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