Package: fpod
Title: Read and Process 'FPOD' and 'CPOD' Data
Version: 1.0.1
Date: 2026-04-30
Authors@R: 
    person(given = "André", 
           family = "Moan", 
           role = c("aut", "cre", "cph"),
           email = "andre.moan@hi.no")
Description: 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 <doi:10.1111/1365-2435.12146>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp
Imports: Rcpp (>= 1.1.0), data.table
Suggests: knitr, mixtools, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/supermoan/fpod
BugReports: https://github.com/supermoan/fpod/issues
NeedsCompilation: yes
Packaged: 2026-05-07 11:21:56 UTC; a21997
Author: André Moan [aut, cre, cph]
Maintainer: André Moan <andre.moan@hi.no>
Repository: CRAN
Date/Publication: 2026-05-12 18:20:07 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-05-12 20:44:41 UTC; unix
Archs: fpod.so.dSYM
