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 (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.23), StanHeaders (≥ 2.26.22)
Published: 2023-09-12
Author: Abigail G. Keller [aut, cre]
Maintainer: Abigail G. Keller <agkeller at berkeley.edu>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: greencrab.toolkit results

Documentation:

Reference manual: greencrab.toolkit.pdf

Downloads:

Package source: greencrab.toolkit_0.2.tar.gz
Windows binaries: r-devel: greencrab.toolkit_0.2.zip, r-release: greencrab.toolkit_0.2.zip, r-oldrel: greencrab.toolkit_0.2.zip
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
Old sources: greencrab.toolkit archive

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