{
  "_id": "6a12b658acfb0bcc41d1ad43",
  "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>.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
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  "RoxygenNote": "7.2.3",
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  "Packaged": {
    "Date": "2026-05-24 08:24:29 UTC",
    "User": "root"
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  "Author": "Daniel Dalthorp [aut, cre]",
  "Maintainer": "Daniel Dalthorp <ddalthorp@protonmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-11-19 18:50:17 UTC",
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    "message": "version 1.0.0.2\n",
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    "login": "ddalthorp",
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    "uuid": 30092223
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      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
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      "role": "Imports"
    },
    {
      "package": "GenEst",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "rjags",
      "role": "Imports"
    },
    {
      "package": "survival",
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    },
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      "package": "VGAM",
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/eoa3"
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  "_searchresults": 0,
  "_topics": [
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    "cpp"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/eoa3.html",
    "manual.pdf"
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  "_realowner": "ddalthorp",
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  "_releases": [
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      "version": "1.0",
      "date": "2023-01-16"
    },
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      "date": "2023-07-04"
    },
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    "calcMstar",
    "est_cp0",
    "est_g0",
    "est_pk0",
    "fmmax",
    "fmmax.ab",
    "getab",
    "MCI",
    "MpriorOK",
    "postM",
    "postM.ab",
    "sim_cp0",
    "sim_pk0"
  ],
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    {
      "name": "cpdata0",
      "title": "A template for carcass persistence data with interval-censored carcass persistence times",
      "object": "cpdata0",
      "class": [
        "data.frame"
      ],
      "fields": [
        "CPmin",
        "CPmax"
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      "rows": 42,
      "table": true,
      "tojson": true
    },
    {
      "name": "days0",
      "title": "A template for search schedule data",
      "object": "days0",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
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      "title": "A template for summarized searcher efficiency data with the number of carcasses available and the number discovered for N = 12 search occasions",
      "object": "pkdata0",
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      ],
      "fields": [],
      "table": true,
      "tojson": true
    }
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    {
      "page": "cpdata0",
      "title": "A template for carcass persistence data with interval-censored carcass persistence times",
      "topics": [
        "cpdata0"
      ]
    },
    {
      "page": "days0",
      "title": "A template for search schedule data",
      "topics": [
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      ]
    },
    {
      "page": "eoa3",
      "title": "Evidence of Absence",
      "topics": [
        "eoa3"
      ]
    },
    {
      "page": "est_cp0",
      "title": "Fit cp carcass persistence models",
      "topics": [
        "est_cp0"
      ]
    },
    {
      "page": "est_g0",
      "title": "estimate g from fitted pk and cp models and search schedule",
      "topics": [
        "est_g0"
      ]
    },
    {
      "page": "est_pk0",
      "title": "Fit pk searcher efficiency models",
      "topics": [
        "est_pk0"
      ]
    },
    {
      "page": "fmmax",
      "title": "Find suitable mmax for clipping improper priors for M",
      "topics": [
        "fmmax",
        "fmmax.ab"
      ]
    },
    {
      "page": "getab",
      "title": "retrieve EoA parameterization from 'survival' parameterization of a fitted cp model (or 'survreg' object with exponential, weibull, lognormal, or loglogistic distribution)",
      "topics": [
        "getab"
      ]
    },
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      "page": "MpriorOK",
      "title": "Check validity of format of custom prior for M",
      "topics": [
        "MpriorOK"
      ]
    },
    {
      "page": "pkdata0",
      "title": "A template for summarized searcher efficiency data with the number of carcasses available and the number discovered for N = 12 search occasions",
      "topics": [
        "pkdata0"
      ]
    },
    {
      "page": "postM",
      "title": "Calculate posterior distribution of M and extract statistics (M* and CI)",
      "topics": [
        "calcMstar",
        "MCI",
        "postM",
        "postM.ab"
      ]
    },
    {
      "page": "sim_cp0",
      "title": "generate random cp parameters or persistence times",
      "topics": [
        "sim_cp0"
      ]
    },
    {
      "page": "sim_pk0",
      "title": "Simulate pk parameters from model",
      "topics": [
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      ]
    },
    {
      "page": "summary.estg",
      "title": "Summary statistics for estimated g",
      "topics": [
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      ]
    },
    {
      "page": "summary.estpk",
      "title": "Summary statistics for estimated p and p parameters",
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      "package": "libstdc++6",
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