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  "Package": "eoa3",
  "Title": "Wildlife Mortality Estimator for Low Fatality Rates and\nImperfect Detection",
  "Version": "1.0.0.2",
  "Date": "2024-11-19",
  "Authors@R": "person(\"Daniel\", \"Dalthorp\", email = \"ddalthorp@protonmail.com\", role = c(\"aut\", \"cre\"))",
  "Description": "Evidence of Absence software (EoA) is a user-friendly\napplication for estimating bird and bat fatalities at wind\nfarms and designing search protocols. The software is\nparticularly useful in addressing whether the number of\nfatalities has exceeded a given threshold and what search\nparameters are needed to give assurance that thresholds were\nnot exceeded. The models are applicable even when zero\ncarcasses have been found in searches, following Huso et al.\n(2015) <doi:10.1890/14-0764.1>, Dalthorp et al. (2017)\n<doi:10.3133/ds1055>, and Dalthorp and Huso (2015)\n<doi:10.3133/ofr20151227>.",
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  "Author": "Daniel Dalthorp [aut, cre]",
  "Maintainer": "Daniel Dalthorp <ddalthorp@protonmail.com>",
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    "extra/citation.json",
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    "est_cp0",
    "est_g0",
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    "fmmax.ab",
    "getab",
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    "MpriorOK",
    "postM",
    "postM.ab",
    "sim_cp0",
    "sim_pk0"
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        "CPmax"
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      "title": "A template for search schedule data",
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
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      "title": "A template for carcass persistence data with interval-censored carcass persistence times",
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      ]
    },
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      "title": "Evidence of Absence",
      "topics": [
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      "title": "Fit cp carcass persistence models",
      "topics": [
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      ]
    },
    {
      "page": "est_g0",
      "title": "estimate g from fitted pk and cp models and search schedule",
      "topics": [
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      ]
    },
    {
      "page": "est_pk0",
      "title": "Fit pk searcher efficiency models",
      "topics": [
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      ]
    },
    {
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      "title": "Find suitable mmax for clipping improper priors for M",
      "topics": [
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        "fmmax.ab"
      ]
    },
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      "page": "getab",
      "title": "retrieve EoA parameterization from 'survival' parameterization of a fitted cp model (or 'survreg' object with exponential, weibull, lognormal, or loglogistic distribution)",
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        "MCI",
        "postM",
        "postM.ab"
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