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  "Package": "bumblebee",
  "Title": "Quantify Disease Transmission Within and Between Population\nGroups",
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  "Authors@R": "c(\nperson(\"Lerato E\", \"Magosi\", email = \"lmagosi@hsph.harvard.edu\",\nrole = \"aut\", comment = c(ORCID = \"0000-0002-3388-9892\")),\nperson(\"Marc\", \"Lipsitch\", email = \"mlipsitc@hsph.harvard.edu\",\nrole = \"aut\"),\nperson(\"Lerato E\", \"Magosi\", email = \"magosil86@gmail.com\",\nrole = \"cre\"))",
  "Description": "A simple tool to quantify the amount of transmission of an\ninfectious disease of interest occurring within and between\npopulation groups. 'bumblebee' uses counts of observed directed\ntransmission pairs, identified phylogenetically from\ndeep-sequence data or from epidemiological contacts, to\nquantify transmission flows within and between population\ngroups accounting for sampling heterogeneity. Population groups\nmight include: geographical areas (e.g. communities, regions),\ndemographic groups (e.g. age, gender) or arms of a randomized\nclinical trial. See the 'bumblebee' website for statistical\ntheory, documentation and examples\n<https://magosil86.github.io/bumblebee/>.",
  "License": "MIT + file LICENSE",
  "URL": "https://magosil86.github.io/bumblebee/",
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  "Repository": "https://magosil86.r-universe.dev",
  "Date/Publication": "2022-02-27 21:36:35 UTC",
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      "title": "bumblebee: Estimate transmission flows within and between population groups accounting for sampling heterogeneity.",
      "author": "Lerato E. Magosi",
      "engine": "knitr::rmarkdown",
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        "Background",
        "Example application areas include:",
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        "Data:",
        "The data was sourced from:",
        "A basic analysis: Estimating transmission flows within and between population groups",
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        "See ?estimate_transmission_flows_and_ci() for a description of all the output variables",
        "A step further: Exploring available options"
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      "modified": "2021-05-08 20:08:26",
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