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secr: Spatially Explicit Capture-Recapture

Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.

Version: 5.1.0
Depends: R (≥ 3.5.0), methods
Imports: abind, graphics, grDevices, MASS, mgcv, mvtnorm, nlme, parallel, raster (≥ 3.5-15), Rcpp (≥ 0.12.14), RcppNumerical, RcppParallel (≥ 5.1.1), sf, stats, stringr, terra (≥ 1.5-12), tools, utils
LinkingTo: BH, Rcpp, RcppEigen, RcppNumerical, RcppParallel
Suggests: gdistance, igraph, knitr, readxl, rmarkdown, sp, spatstat (≥ 3.0-2), spatstat.geom, spatstat.random, spcosa, spsurvey (≥ 5.3.0), testthat
Published: 2024-11-04
DOI: 10.32614/CRAN.package.secr
Author: Murray Efford ORCID iD [aut, cre], Philipp Jund [ctb] (faster transect search and spacing), David Fletcher [ctb] (overdispersion), Yan Ru Choo ORCID iD [ctb] (goodness-of-fit)
Maintainer: Murray Efford <murray.efford at otago.ac.nz>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.otago.ac.nz/density/, https://github.com/MurrayEfford/secr/
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: secr citation info
Materials: NEWS
In views: Environmetrics
CRAN checks: secr results

Documentation:

Reference manual: secr.pdf
Vignettes: Data input for secr (source, R code)
Spatially explicit capture–recapture in R (source, R code)

Downloads:

Package source: secr_5.1.0.tar.gz
Windows binaries: r-devel: secr_5.1.0.zip, r-release: secr_5.1.0.zip, r-oldrel: secr_5.1.0.zip
macOS binaries: r-release (arm64): secr_5.1.0.tgz, r-oldrel (arm64): secr_5.1.0.tgz, r-release (x86_64): secr_5.1.0.tgz, r-oldrel (x86_64): secr_5.1.0.tgz
Old sources: secr archive

Reverse dependencies:

Reverse depends: ipsecr, openCR, secrdesign, secrlinear
Reverse imports: camtrapR
Reverse suggests: ScatterDensity, wiqid

Linking:

Please use the canonical form https://CRAN.R-project.org/package=secr 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.
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