greencrab.toolkit: Run 'Stan' Models to Interpret Green Crab Monitoring Assessments

These Bayesian models written in the 'Stan' probabilistic language can be used to interpret green crab trapping and environmental DNA monitoring data, either independently or jointly. Detailed model information is found in Keller (2022) <doi:10.1002/eap.2561>.

Version: 0.2
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.23), rstantools (≥ 2.2.0), methods
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.26.23), StanHeaders (≥ 2.26.22)
Published: 2023-09-12
DOI: 10.32614/CRAN.package.greencrab.toolkit
Author: Abigail G. Keller [aut, cre]
Maintainer: Abigail G. Keller <agkeller at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: greencrab.toolkit results


Reference manual: greencrab.toolkit.pdf


Package source: greencrab.toolkit_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): greencrab.toolkit_0.2.tgz, r-oldrel (arm64): greencrab.toolkit_0.2.tgz, r-release (x86_64): greencrab.toolkit_0.2.tgz, r-oldrel (x86_64): greencrab.toolkit_0.2.tgz
Old sources: greencrab.toolkit archive


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