The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

detect: Analyzing Wildlife Data with Detection Error

Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (QPAD) (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>), and single bin QPAD (SQPAD) models (Lele & Solymos 2025). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.

Version: 0.5-0
Depends: R (≥ 3.5.0), Formula, stats4, pbapply
Imports: Matrix, extraDistr
Suggests: dclone, dcmle
Published: 2025-09-01
DOI: 10.32614/CRAN.package.detect
Author: Peter Solymos ORCID iD [aut, cre], Monica Moreno [aut], Subhash R. Lele [aut], Steven L. Van Wilgenburg [ctb]
Maintainer: Peter Solymos <psolymos at gmail.com>
BugReports: https://github.com/psolymos/detect/issues
License: GPL-2
URL: https://github.com/psolymos/detect
NeedsCompilation: no
CRAN checks: detect results

Documentation:

Reference manual: detect.html , detect.pdf

Downloads:

Package source: detect_0.5-0.tar.gz
Windows binaries: r-devel: detect_0.5-0.zip, r-release: detect_0.5-0.zip, r-oldrel: detect_0.5-0.zip
macOS binaries: r-release (arm64): detect_0.5-0.tgz, r-oldrel (arm64): detect_0.4-6.tgz, r-release (x86_64): detect_0.5-0.tgz, r-oldrel (x86_64): detect_0.5-0.tgz
Old sources: detect archive

Reverse dependencies:

Reverse suggests: bSims

Linking:

Please use the canonical form https://CRAN.R-project.org/package=detect to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.