{
  "_id": "6a102609acfb0bcc41c8f104",
  "Package": "fpod",
  "Title": "Read and Process 'FPOD' and 'CPOD' Data",
  "Version": "1.0.1",
  "Date": "2026-04-30",
  "Authors@R": "person(given = \"André\",\nfamily = \"Moan\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"andre.moan@hi.no\")",
  "Description": "Read 'FPOD' and 'CPOD' data into 'R' directly from the\n'FPOD' data files (i.e. .CP1, .CP3, .FP1 and .FP3 files). The\n'FPOD' data files contain binary data, so they can't trivially\nbe read into 'R' using the usual approach, e.g. fread() or\nread.csv(). This package decodes the binary data and imports\nall the data in one go (i.e. header/metadata, clicks, 'KERNO'\nclassifications, environmental data and pseudo-WAV data). It is\nthen trivial to aggregate data as you please, e.g.\ndetection-positive-minutes per time block. The advantage of\nhandling data processing in 'R' is a long topic, but suffice it\nto say that it 1) simplifies things (many fewer steps, as\ndifferent vars have to be exported in multiple goes in the\nofficial 'FPOD' app), and more importantly, 2) makes data\nprocessing transparent and reproducible. References: Pirotta et\nal. 2014 <doi:10.1111/1365-2435.12146>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/supermoan/fpod",
  "BugReports": "https://github.com/supermoan/fpod/issues",
  "Repository": "https://supermoan.r-universe.dev",
  "Date/Publication": "2026-05-07 11:19:22 UTC",
  "RemoteUrl": "https://github.com/supermoan/fpod",
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  "Packaged": {
    "Date": "2026-05-13 09:08:50 UTC",
    "User": "root"
  },
  "Author": "André Moan [aut, cre, cph]",
  "Maintainer": "André Moan <andre.moan@hi.no>",
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    "author": "André Moan <andre.moan@gmail.com>",
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    "message": "increment version num\n",
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