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nimbleSCR: Spatial Capture-Recapture (SCR) Methods Using 'nimble'

Provides utility functions, distributions, and fitting methods for Bayesian Spatial Capture-Recapture (SCR) and Open Population Spatial Capture-Recapture (OPSCR) modelling using the nimble package (de Valpine et al. 2017 <doi:10.1080/10618600.2016.1172487 >). Development of the package was motivated primarily by the need for flexible and efficient analysis of large-scale SCR data (Bischof et al. 2020 <doi:10.1073/pnas.2011383117 >). Computational methods and techniques implemented in nimbleSCR include those discussed in Turek et al. 2021 <doi:10.1002/ecs2.3385>; among others. For a recent application of nimbleSCR, see Milleret et al. (2021) <doi:10.1098/rsbl.2021.0128>.

Version: 0.2.1
Depends: R (≥ 3.5.0), nimble
Imports: methods
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), coda, basicMCMCplots
Published: 2022-11-30
DOI: 10.32614/CRAN.package.nimbleSCR
Author: Richard Bischof [aut], Daniel Turek [aut, cre], Cyril Milleret [aut], Torbjørn Ergon [aut], Pierre Dupont [aut], Soumen Dey [aut], Wei Zhang [aut], Perry de Valpine [aut]
Maintainer: Daniel Turek <danielturek at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: nimbleSCR results

Documentation:

Reference manual: nimbleSCR.pdf
Vignettes: Fit with half-normal plateau detection function and home range size estimation using nimbleSCR package
Point process Bayesian SCR models with nimbleSCR
Using nimbleSCR to simulate and fit Bayesian SCR models
Using nimbleSCR to fit 'point process SCR models' to wolverine (Gulo gulo) non-invasive genetic sampling data
Wolverine Example

Downloads:

Package source: nimbleSCR_0.2.1.tar.gz
Windows binaries: r-devel: nimbleSCR_0.2.1.zip, r-release: nimbleSCR_0.2.1.zip, r-oldrel: nimbleSCR_0.2.1.zip
macOS binaries: r-release (arm64): nimbleSCR_0.2.1.tgz, r-oldrel (arm64): nimbleSCR_0.2.1.tgz, r-release (x86_64): nimbleSCR_0.2.1.tgz, r-oldrel (x86_64): nimbleSCR_0.2.1.tgz
Old sources: nimbleSCR archive

Linking:

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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.