Package: sheepdog
Title: Sample, Validate and Calibrate 'BirdNET' Detections
Version: 3.2.1.9000
Authors@R: 
    person("Diogo B.", "Provete", , "dbprovete@gmail.com", role = c("aut", "cre"))
Description: Tools to check whether automated detections from 'BirdNET'
        custom classifiers in passive acoustic monitoring are real. The
        package builds clip sets for manual validation (top-score,
        random-occasion or random-recording designs), summarises the
        reviewed clips, calibrates confidence scores into probabilities
        of true detection with hierarchical logistic models, and turns
        calibrated detections into nightly detection histories and
        effort-standardised community matrices.
License: MIT + file LICENSE
URL: https://github.com/diogoprov/sheepdog,
        https://provetelab.org/sheepdog/
BugReports: https://github.com/diogoprov/sheepdog/issues
Depends: R (>= 4.2)
Imports: dplyr (>= 1.1.1), jsonlite, pROC, purrr (>= 1.0.0), readr,
        stats, stringr, tibble, tidyr, tools, withr, zip
Suggests: ape, arrow, av, brms, crywolf, ggplot2, gllvm, knitr, lme4,
        posterior, priorsense, rmarkdown, testthat (>= 3.0.0), vegan
Additional_repositories: https://diogoprov.r-universe.dev,
        https://stan-dev.r-universe.dev
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.1.1
Config/pak/sysreqs: libicu-dev libx11-dev
Repository: https://diogoprov.r-universe.dev
Date/Publication: 2026-10-25 14:07:48 UTC
RemoteUrl: https://github.com/diogoprov/sheepdog
RemoteRef: main
RemoteSha: 5c0fd12c4b101bb8ef876fd3be1043cdb9bcf506
NeedsCompilation: no
Packaged: 2026-10-25 16:50:38 UTC; root
Author: Diogo B. Provete [aut, cre]
Maintainer: Diogo B. Provete <dbprovete@gmail.com>