Package: DyMEP 0.1.2
DyMEP: Dynamic Multi Environment Phenology-Model
Mechanistically models/predicts the phenology (macro-phases) of 10 crop plants (trained on a big dataset over 80 years derived from the German weather service (DWD) <https://opendata.dwd.de/>). Can be applied for remote sensing purposes, dynamically check the best subset of available covariates for the given dataset and crop.
Authors:
DyMEP_0.1.2.tar.gz
DyMEP_0.1.2.zip(r-4.5)DyMEP_0.1.2.zip(r-4.4)DyMEP_0.1.2.zip(r-4.3)
DyMEP_0.1.2.tgz(r-4.4-any)DyMEP_0.1.2.tgz(r-4.3-any)
DyMEP_0.1.2.tar.gz(r-4.5-noble)DyMEP_0.1.2.tar.gz(r-4.4-noble)
DyMEP_0.1.2.tgz(r-4.4-emscripten)DyMEP_0.1.2.tgz(r-4.3-emscripten)
DyMEP.pdf |DyMEP.html✨
DyMEP/json (API)
NEWS
| # Install 'DyMEP' in R: |
| install.packages('DyMEP', repos = c('https://ftschurr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ftschurr/dymep/issues
Last updated 7 months agofrom:ec753297a8. Checks:OK: 1 ERROR: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | ERROR | Nov 03 2024 |
| R-4.5-linux | ERROR | Nov 03 2024 |
| R-4.4-win | ERROR | Nov 03 2024 |
| R-4.4-mac | ERROR | Nov 03 2024 |
| R-4.3-win | ERROR | Nov 03 2024 |
| R-4.3-mac | ERROR | Nov 03 2024 |
Exports:asymptotic_predictionavailable_crops_and_phasesavailable_environmental_covariatesbest_DyMEP_modelDyMEP_DRC_visualizerDyMEP_prediction_visualizerenvpredutils.cumulative_dose_response_pred_helperenvpredutils.data_frame_to_listenvpredutils.env_period_cutterenvpredutils.GLM_prediction_df_creatorenvpredutils.model_selecterenvpredutils.period_date_creatorenvpredutils.pheno_phase_prediction_glm_modelget_parametersnon_linear_predictionpheno_phase_predictionpredhelp.check_pheno_phase_orderpredhelputils.get_all_permutationsreg_linear_predictionsummaryWangEngels_prediction
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| DRC function: asymptotic_prediction | asymptotic_prediction |
| available_crops_and_phases | available_crops_and_phases |
| available_environmental_covariates check what environmental covariates are implemented, use or alter prediction these abbreviations and the corresponding unit | available_environmental_covariates |
| Dynamic Multi Environment Phenology-Model | DyMEP |
| DyMEP_DRC_visualizer | DyMEP_DRC_visualizer |
| DyMEP_prediction_visualizer | DyMEP_prediction_visualizer |
| apply the prediction with glm model | envpredutils.pheno_phase_prediction_glm_model |
| DRC function: non_linear_prediction | non_linear_prediction |
| function to predict the a phenological phase in winter wheat | pheno_phase_prediction |
| DRC function: reg_linear_prediction | reg_linear_prediction |
| DRC function: WangEngels_prediction | WangEngels_prediction |
