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:Flavian Tschurr

DyMEP_0.1.2.tar.gz
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DyMEP_0.1.2.tgz(r-4.4-any)DyMEP_0.1.2.tgz(r-4.3-any)
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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'))

Peer review:

Bug tracker:https://github.com/ftschurr/dymep/issues

On CRAN:

21 exports 1 stars 1.01 score 0 dependencies 165 downloads

Last updated 5 months agofrom:ec753297a8. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winERRORAug 28 2024
R-4.5-linuxERRORAug 28 2024
R-4.4-winERRORAug 28 2024
R-4.4-macERRORAug 28 2024
R-4.3-winERRORAug 28 2024
R-4.3-macERRORAug 28 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: