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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fpod" in publications use:'
type: software
license: MIT
title: 'fpod: Read and Process ''FPOD'' and ''CPOD'' Data'
version: 1.0.1
abstract: 'Read ''FPOD'' and ''CPOD'' data into ''R'' directly from the ''FPOD'' data
  files (i.e. .CP1, .CP3, .FP1 and .FP3 files). The ''FPOD'' data files contain binary
  data, so they can''t trivially be read into ''R'' using the usual approach, e.g.
  fread() or read.csv(). This package decodes the binary data and imports all the
  data in one go (i.e. header/metadata, clicks, ''KERNO'' classifications, environmental
  data and pseudo-WAV data). It is then trivial to aggregate data as you please, e.g.
  detection-positive-minutes per time block. The advantage of handling data processing
  in ''R'' is a long topic, but suffice it to say that it 1) simplifies things (many
  fewer steps, as different vars have to be exported in multiple goes in the official
  ''FPOD'' app), and more importantly, 2) makes data processing transparent and reproducible.
  References: Pirotta et al. 2014 <https://doi.org/10.1111/1365-2435.12146>.'
authors:
- family-names: Moan
  given-names: André
  email: andre.moan@hi.no
repository: https://cran.r-universe.dev
repository-code: https://github.com/supermoan/fpod
commit: 9e0f9c2d9e767e104153233406060946748822a2
url: https://github.com/supermoan/fpod
date-released: '2026-04-30'
contact:
- family-names: Moan
  given-names: André
  email: andre.moan@hi.no