CRAN/E | nimbleSCR

nimbleSCR

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

Installation

About

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.

Key Metrics

Version 0.2.1
R ≥ 3.5.0
Published 2022-11-30 485 days ago
Needs compilation? no
License GPL-3
CRAN checks nimbleSCR results

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Maintainer

Maintainer

Daniel Turek

danielturek@gmail.com

Authors

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

Material

NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nimbleSCR archive

Depends

R ≥ 3.5.0
nimble

Imports

methods

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0
coda
basicMCMCplots