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]

greencrab.toolkit_0.2.tar.gz
greencrab.toolkit_0.2.zip(r-4.5)greencrab.toolkit_0.2.zip(r-4.4)greencrab.toolkit_0.2.zip(r-4.3)
greencrab.toolkit_0.2.tgz(r-4.4-x86_64)greencrab.toolkit_0.2.tgz(r-4.4-arm64)greencrab.toolkit_0.2.tgz(r-4.3-x86_64)greencrab.toolkit_0.2.tgz(r-4.3-arm64)
greencrab.toolkit_0.2.tar.gz(r-4.5-noble)greencrab.toolkit_0.2.tar.gz(r-4.4-noble)
greencrab.toolkit.pdf |greencrab.toolkit.html
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:

2.00 score 183 downloads 0 exports 53 dependencies

Last updated 1 years agofrom:249f6e2512. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-win-x86_64NOTENov 20 2024
R-4.5-linux-x86_64OKNov 20 2024
R-4.4-win-x86_64NOTENov 20 2024
R-4.4-mac-x86_64NOTENov 20 2024
R-4.4-mac-aarch64NOTENov 20 2024
R-4.3-win-x86_64NOTENov 20 2024
R-4.3-mac-x86_64NOTENov 20 2024
R-4.3-mac-aarch64NOTENov 20 2024

Exports:

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
The 'greencrab.toolkit' package.greencrab.toolkit-package greencrab.toolkit