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
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_5.0.0.zip, r-release: secr_5.0.0.zip, r-oldrel: secr_5.0.0.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:

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