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: 0.2.0
Depends: R (≥ 3.5.0), nimble
Imports: methods
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), coda, basicMCMCplots
Published: 2022-09-02
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>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: nimbleSCR results


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


Package source: nimbleSCR_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nimbleSCR_0.2.0.tgz, r-oldrel (arm64): nimbleSCR_0.2.0.tgz, r-release (x86_64): nimbleSCR_0.2.0.tgz, r-oldrel (x86_64): nimbleSCR_0.2.0.tgz
Old sources: nimbleSCR archive


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