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  "Package": "EpiILMCT",
  "Title": "Continuous Time Distance-Based and Network-Based Individual\nLevel Models for Epidemics",
  "Version": "1.1.6",
  "Date": "2020-01-20",
  "Authors@R": "c(\nperson(\"Waleed\", \"Almutiry\", email = \"wkmtierie@qu.edu.sa\", role = c(\"aut\", \"cre\")),\nperson(\"Rob\", \"Deardon\", role = c(\"aut\", \"ths\")),\nperson(\"Vineetha\", \"Warriyar K. V.\", role = \"ctb\")\n)",
  "Author": "Waleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha\nWarriyar K. V. [ctb]",
  "Maintainer": "Waleed Almutiry <wkmtierie@qu.edu.sa>",
  "Description": "Provides tools for simulating from continuous-time\nindividual level models of disease transmission, and carrying\nout infectious disease data analyses with the same models. The\nepidemic models considered are distance-based and/or contact\nnetwork-based models within Susceptible-Infectious-Removed\n(SIR) or Susceptible-Infectious-Notified-Removed (SINR)\ncompartmental frameworks. An overview of the implemented\ncontinuous-time individual level models for epidemics is given\nby Almutiry and Deardon (2019) <doi:10.1515/ijb-2017-0092>.",
  "License": "GPL (>=2)",
  "URL": "https://github.com/waleedalmutiry/EpiILMCT/",
  "NeedsCompilation": "yes",
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  "Repository": "https://epiverse-connect.r-universe.dev",
  "Date/Publication": "2020-01-21 21:51:20 UTC",
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    "distance",
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    "infectious-disease-models",
    "kerneltype",
    "network",
    "plots",
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    "extra/citation.json",
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    },
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      "class": [
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      ],
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      "table": false,
      "tojson": true
    },
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      "title": "Simulated epidemic data set from a distance-based SIR ILM",
      "object": "SpatialData",
      "file": "SpatialData.RData",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
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      "title": "Simulated epidemic data set from a distance and network-based SIR ILM",
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      "class": [
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      ],
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      "table": false,
      "tojson": false
    },
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      "class": [
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      ],
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      "tojson": false
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    {
      "page": "as.datagen",
      "title": "Continuous Time level information of an Epidemic",
      "topics": [
        "as.epidat"
      ]
    },
    {
      "page": "contactnet",
      "title": "Generate binary adjacency matrix contact networks",
      "topics": [
        "contactnet"
      ]
    },
    {
      "page": "datagen",
      "title": "Generate epidemics from distance-based and/or network-based continuous-time ILMs.",
      "topics": [
        "datagen"
      ]
    },
    {
      "page": "epictmcmc",
      "title": "Markov Chain Monte Carlo-based tool for analyzing (SIR/SINR) distance-based/network-based individual-level disease data.",
      "topics": [
        "epictmcmc"
      ]
    },
    {
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      "topics": [
        "loglikelihoodepiILM"
      ]
    },
    {
      "page": "NetworkData",
      "title": "Simulated epidemic data set from a network-based SIR ILM",
      "topics": [
        "NetworkData"
      ]
    },
    {
      "page": "NetworkDataSINR",
      "title": "Simulated epidemic data set from a network-based SINR ILM",
      "topics": [
        "NetworkDataSINR"
      ]
    },
    {
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      "topics": [
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      ]
    },
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      "title": "Simulated epidemic data set from a distance-based SIR ILM",
      "topics": [
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      "title": "Simulated epidemic data set from a distance and network-based SIR ILM",
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        "summary.epictmcmc"
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