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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
DOI: 10.32614/CRAN.package.greencrab.toolkit
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, r-oldrel (x86_64): greencrab.toolkit_0.2.tgz
Old sources: greencrab.toolkit archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.