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
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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'))

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

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

On CRAN:

Conda:

cpp

2.00 score 319 downloads 0 exports 48 dependencies

Last updated from:249f6e2512. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK347
linux-devel-x86_64OK364
source / vignettesOK336
linux-release-arm64OK348
linux-release-x86_64OK340
macos-release-arm64OK317
macos-release-x86_64OK497
macos-oldrel-arm64OK517
macos-oldrel-x86_64OK826
windows-develOK430
windows-releaseOK419
windows-oldrelOK452
wasm-releaseFAIL148

Exports:

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
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