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:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

onetbbcpp

2.00 score 375 downloads 0 exports 48 dependencies

Last updated from:249f6e2512. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK285
linux-devel-x86_64OK305
source / vignettesOK295
linux-release-arm64OK287
linux-release-x86_64OK342
macos-release-arm64OK414
macos-release-x86_64OK519
macos-oldrel-arm64OK391
macos-oldrel-x86_64OK595
windows-devel-arm64OK542
windows-devel-x86_64OK523
windows-release-arm64OK540
windows-release-x86_64OK320
windows-oldrel-x86_64OK451
wasm-releaseOK224

Exports:

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
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