Package: greencrab.toolkit 0.2

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>.

Authors:Abigail G. Keller [aut, cre]

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greencrab.toolkit/json (API)

# Install 'greencrab.toolkit' in R:
install.packages('greencrab.toolkit', repos = c('https://abigailkeller.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/abigailkeller/greencrab.toolkit/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

0 exports 0.83 score 53 dependencies 178 downloads

Last updated 1 years agofrom:249f6e2512. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-win-x86_64NOTEAug 22 2024
R-4.5-linux-x86_64NOTEAug 22 2024
R-4.4-win-x86_64NOTEAug 22 2024
R-4.4-mac-x86_64NOTEAug 22 2024
R-4.4-mac-aarch64NOTEAug 22 2024
R-4.3-win-x86_64NOTEAug 22 2024
R-4.3-mac-x86_64NOTEAug 22 2024
R-4.3-mac-aarch64NOTEAug 22 2024

Exports:

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

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