Provides utility functions, distributions, and methods for improving Markov chain Monte Carlo (MCMC) sampling efficiency for ecological Spatial Capture-Recapture (SCR) and Open Population Spatial Capture-Recapture (OPSCR) models. The methods provided implement the techniques presented in "Estimation of Large-Scale Spatial Capture-Recapture Models" (Turek, et al (2021); Eco-sphere 12(2):e03385. <doi:10.1002/ecs2.3385>).
| Version: | 0.1.3 |
| Depends: | R (≥ 3.5.0), nimble |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), coda, basicMCMCplots |
| Published: | 2021-10-25 |
| 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 |
| Reference manual: | nimbleSCR.pdf |
| Vignettes: |
Using nimbleSCR to simulate from and fit Bayesian SCR models Using nimbleSCR to simulate and fit Bayesian SCR models Wolverine Example |
| Package source: | nimbleSCR_0.1.3.tar.gz |
| Windows binaries: | r-devel: nimbleSCR_0.1.3.zip, r-release: nimbleSCR_0.1.3.zip, r-oldrel: nimbleSCR_0.1.3.zip |
| macOS binaries: | r-release (arm64): nimbleSCR_0.1.3.tgz, r-oldrel (arm64): nimbleSCR_0.1.3.tgz, r-release (x86_64): nimbleSCR_0.1.3.tgz, r-oldrel (x86_64): nimbleSCR_0.1.3.tgz |
| Old sources: | nimbleSCR archive |
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