Package: rsofun 5.0.0.9000
rsofun: The P-Model and BiomeE Modelling Framework
Implements the Simulating Optimal FUNctioning framework for site-scale simulations of ecosystem processes, including model calibration. It contains 'Fortran 90' modules for the P-model (Stocker et al. (2020) <doi:10.5194/gmd-13-1545-2020>), SPLASH (Davis et al. (2017) <doi:10.5194/gmd-10-689-2017>) and BiomeE (Weng et al. (2015) <doi:10.5194/bg-12-2655-2015>).
Authors:
rsofun_5.0.0.9000.tar.gz
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rsofun.pdf |rsofun.html✨
rsofun/json (API)
# Install 'rsofun' in R: |
install.packages('rsofun', repos = c('https://geco-bern.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/geco-bern/rsofun/issues
- biomee_gs_leuning_drivers - Rsofun BiomeE driver data
- biomee_gs_leuning_output - Rsofun BiomeE (gs_leuning) output data
- biomee_p_model_drivers - Rsofun BiomeE driver data
- biomee_p_model_output - Rsofun BiomeE (P-model) output data
- biomee_validation - Rsofun BiomeE targets validation data
- p_model_drivers - Rsofun P-model driver data
- p_model_drivers_vcmax25 - Rsofun P-model driver data
- p_model_output - Rsofun P-model output data
- p_model_output_vcmax25 - Rsofun P-model output data
- p_model_validation - Rsofun P-model GPP validation data
- p_model_validation_vcmax25 - Rsofun P-model Vcmax25 validation data
dgvmgrowthmodelingp-modelsimulationvegetation-dynamicsfortran
Last updated 11 days agofrom:c50d858886. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 12 2024 |
R-4.5-win-x86_64 | OK | Dec 12 2024 |
R-4.5-linux-x86_64 | OK | Dec 12 2024 |
R-4.4-win-x86_64 | OK | Dec 12 2024 |
R-4.4-mac-x86_64 | OK | Dec 12 2024 |
R-4.4-mac-aarch64 | OK | Dec 12 2024 |
R-4.3-win-x86_64 | OK | Dec 12 2024 |
R-4.3-mac-x86_64 | OK | Dec 12 2024 |
R-4.3-mac-aarch64 | OK | Dec 12 2024 |
Exports:calib_sofuncost_likelihood_biomeecost_likelihood_pmodelcost_rmse_biomeecost_rmse_pmodelrun_biomee_f_bysiterun_pmodel_f_bysiterunread_biomee_frunread_pmodel_f
Dependencies:apeaskpassbase64encBayesianToolsBHbootbridgesamplingBrobdingnagbslibcachemcallrclicodacodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tableDHARMadigestdoParalleldplyrellipseemulatorevaluateexpmfansifarverfastmapfontawesomeforeachfsgapgap.datasetsgenericsGenSAggplot2gluegmmgtablehighrhtmltoolshtmlwidgetshttpuvhttrIDPmiscisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4lmtestmagrittrMASSMatrixmemoisemgcvmimeminqamsmmultidplyrmunsellmvtnormnlmenloptrnumDerivopensslpillarpkgconfigplotlyplyrprocessxpromisespspurrrqgamqsR6RApiSerializerappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackrlangrmarkdownsandwichsassscalesshinysourcetoolsstringfishstringistringrsurvivalsystibbletidyrtidyselecttinytextmvtnormutf8vctrsviridisLitewithrxfunxtableyamlzoo
BiomeE usage
Rendered frombiomee_use.Rmd
usingknitr::rmarkdown
on Dec 12 2024.Last update: 2024-11-26
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Data format
Rendered fromdata_format.Rmd
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on Dec 12 2024.Last update: 2024-11-25
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P-model usage
Rendered frompmodel_use.Rmd
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on Dec 12 2024.Last update: 2024-11-26
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Parameter calibration and cost functions
Rendered fromnew_cost_function.Rmd
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on Dec 12 2024.Last update: 2023-06-08
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Sensitivity analysis and calibration interpretation
Rendered fromsensitivity_analysis.Rmd
usingknitr::rmarkdown
on Dec 12 2024.Last update: 2024-11-26
Started: 2023-05-26