Package: PEcAn.workflow 1.8.0.9000
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:
PEcAn.workflow_1.8.0.9000.tar.gz
PEcAn.workflow_1.8.0.9000.zip(r-4.5)PEcAn.workflow_1.8.0.9000.zip(r-4.4)PEcAn.workflow_1.8.0.9000.zip(r-4.3)
PEcAn.workflow_1.8.0.9000.tgz(r-4.4-any)PEcAn.workflow_1.8.0.9000.tgz(r-4.3-any)
PEcAn.workflow_1.8.0.9000.tar.gz(r-4.5-noble)PEcAn.workflow_1.8.0.9000.tar.gz(r-4.4-noble)
PEcAn.workflow_1.8.0.9000.tgz(r-4.4-emscripten)PEcAn.workflow_1.8.0.9000.tgz(r-4.3-emscripten)
PEcAn.workflow.pdf |PEcAn.workflow.html✨
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
bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplantsjagscpp
Last updated 9 days agofrom:882766d7a0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-win | OK | Dec 17 2024 |
R-4.5-linux | OK | Dec 17 2024 |
R-4.4-win | OK | Dec 17 2024 |
R-4.4-mac | OK | Dec 17 2024 |
R-4.3-win | OK | Dec 17 2024 |
R-4.3-mac | OK | Dec 17 2024 |
Exports:create_execute_test_xmldo_conversionsmodel_specific_tagsrun.write.configsrunModule_start_model_runsrunModule.get.trait.datarunModule.run.write.configsstart_model_runs
Dependencies:abindadmiscamerifluxrarrowaskpassassertthatbase64encbigleafbitbit64bitopsblobbootbslibcacachemcallrCDMcellrangerclassclassIntclicliprclueclustercodacodetoolscolorspacecpp11crayoncrosstalkcrulcurldata.tableDBIdbplyrdeldirdendextendDEoptimRdigestdownloaderdplRdplyrduckdbduckdbfse1071eggevaluatefansifarverfastmapfauxpasfBasicsfontawesomeforeachfsfurrrfuturegclusgenericsgeonamesgetoptggplot2ggrepelglobalsgluegridExtragssgtableHDIntervalheatmaplyhighrhmshtmltoolshtmlwidgetshttpcodehttrigraphisobanditeratorsjquerylibjsonliteKernSmoothkknnknitrlabelinglaterlatticelazyevallifecyclelistenvlubridatemagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmemoisemgcvmimemlegpmodeestmunsellmvtnormncdf4neonstoreneonUtilitiesnlmenneoopenssloptparseparallellypbapplypbvPEcAn.benchmarkPEcAn.data.atmospherePEcAn.data.landPEcAn.DBPEcAn.emulatorPEcAn.loggerPEcAn.MAPEcAn.priorsPEcAn.remotePEcAn.settingsPEcAn.uncertaintyPEcAn.utilsPEcAn.visualizationpermutepillarpkgconfigplotlyplyrpngpolyclippolycorprettyunitsprocessxprogresspromisesproxypspurrrqapquantregR.methodsS3R.ooR.utilsR6randtoolboxrappdirsrasterRColorBrewerRcppRcppArmadilloRCurlreadrreadxlREddyProcregistryrematchreshape2rjagsrjsonrlangrmarkdownrmutilrngWELLrobustbaserpartrunjagss2sassscalesseriationsfsignalSimilarityMeasuressirtsolartimespSparseMspatialspatstat.dataspatstat.geomspatstat.univarspatstat.utilsstablestablediststatipstorrstringistringrsuntoolssurvivalswfscMiscsysTAMterrathortibbletidyrtidyselecttimechangetimeDatetimeSeriestinytextraitstriebeardtruncnormTSPtzdbunitsurltoolsutf8vctrsveganviridisviridisLitevroomwebshotwhiskerwithrwkxfunXMLxtsyamlzipzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create a PEcAn XML file and use it to run a PEcAn workflow | create_execute_test_xml |
do_conversions | do.conversions do_conversions |
model_specific_tags | model_specific_tags |
Write model-specific run scripts and configuration files | run.write.configs |
Get trait data for all PFTs in a settings list | runModule.get.trait.data |
Generate model-specific run configuration files for one or more PEcAn runs | runModule.run.write.configs |
Start selected ecosystem model runs within PEcAn workflow | runModule_start_model_runs start_model_runs |