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✨
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 157 downloads 0 exports 48 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK324
linux-devel-x86_64OK381
source / vignettesOK336
linux-release-arm64OK325
linux-release-x86_64OK345
macos-release-arm64OK353
macos-release-x86_64OK500
macos-oldrel-arm64OK379
macos-oldrel-x86_64OK753
windows-develOK536
windows-releaseOK419
windows-oldrelOK485
wasm-releaseFAIL152

Exports:

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

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