Package: PEcAn.workflow 1.10.0.9000

David LeBauer

PEcAn.workflow: PEcAn Functions Used for Ecological Forecasts and Reanalysis

The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PEcAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation. This package provides workhorse functions that can be used to run the major steps of a PEcAn analysis.

Authors:Mike Dietze [aut], David LeBauer [aut, cre], Xiaohui Feng [aut], Dan Wang [aut], Carl Davidson [aut], Rob Kooper [aut], Shawn Serbin [aut], University of Illinois, NCSA [cph]

PEcAn.workflow_1.10.0.9000.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
PEcAn.workflow/json (API)
NEWS

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

Bug tracker:https://github.com/pecanproject/pecan/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

pecandata-assimilationecosystem-modelingreproducibilitybayesiancyberinfrastructuredata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationplantsjagscpp

9.03 score 236 stars 4 packages 15 scripts 6 exports 206 dependencies

Last updated from:3654c6a1cc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK196
source / vignettesOK258
linux-release-x86_64OK164
macos-release-arm64OK123
macos-oldrel-arm64OK126
windows-develOK96
windows-releaseOK106
windows-oldrelOK129
wasm-releaseOK189

Exports:do_conversionsrun.write.configsrunModule_start_model_runsrunModule.get.trait.datarunModule.run.write.configsstart_model_runs

Dependencies:abindamerifluxrarrowaskpassassertthatbase64encbigleafbitbit64bitopsblobbootbslibcacachemcallrcellrangerclassclassIntclicliprclueclustercodacodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tableDBIdbplyrdendextendDEoptimRdigestdoParalleldplyrdtwdtwclustduckdbe1071eggevaluatefarverfastmapflexclustfontawesomeforeachfsfurrrfuturegclusgenericsgeonamesggplot2ggrepelglobalsgluegridExtragtableheatmaplyherehighrhmshtmltoolshtmlwidgetshttpuvhttrhttr2isobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlubridatemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemgcvmimemlegpmodeltoolsMODISToolsmvtnormncdf4nlmenumbersopenssloptparseotelparallellyPEcAn.data.atmospherePEcAn.data.landPEcAn.data.remotePEcAn.DBPEcAn.emulatorPEcAn.loggerPEcAn.MAPEcAn.priorsPEcAn.remotePEcAn.settingsPEcAn.uncertaintyPEcAn.utilspermutepillarpkgconfigplotlyplyrpngprettyunitsprocessxprogresspromisesproxypspurrrqapquantregR.methodsS3R.ooR.utilsR6randtoolboxrappdirsrasterRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcppThreadRcppTOMLRCurlreadrreadxlREddyProcregistryrematchreshape2reticulaterjagsrjsonrlangrmarkdownrngWELLrobustbaserprojrootRSpectras2S7sassscalessensitivityseriationsfshinyshinyjssolartimesourcetoolsspSparseMstringistringrsuntoolssurvivalsysterratibbletidyrtidyselecttimechangetinytextriebeardtruncnormTSPtzdbunitsurltoolsutf8vctrsveganviridisviridisLitevroomwebshotwithrwkxfunXMLxtablextsyamlzoo