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
DyMEP_0.1.2.zip(r-4.7-any)DyMEP_0.1.2.zip(r-4.6-any)DyMEP_0.1.2.zip(r-4.5-any)
DyMEP_0.1.2.tgz(r-4.6-any)DyMEP_0.1.2.tgz(r-4.5-any)
DyMEP_0.1.2.tar.gz(r-4.7-any)DyMEP_0.1.2.tar.gz(r-4.6-any)
DyMEP_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DyMEP/json (API)

# 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

On CRAN:

Conda:

2.70 score 1 stars 276 downloads 21 exports 0 dependencies

Last updated from:ec753297a8. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR91
source / vignettesOK164
linux-releaseERROR107
macos-releaseERROR105
macos-oldrelERROR174
windows-develERROR73
windows-releaseERROR68
windows-oldrelERROR50
wasm-releaseOK68

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: