add_layer               Attach a covariate layer to a project
agri_project            Create an agricultural analysis project
build_features          Build the model design matrix
check_project           Check a project for the faults that invalidate
                        an analysis
crop_parameters         Indicative crop thermal parameters
demo_agri_data          A demonstration agricultural data set
explain                 Explain a fitted model
growing_degree_days     Growing degree days
list_sources            List registered sources and learners
phenology_windows       Derive phenological windows from accumulated
                        thermal time
plot.agri_model         Plot a fitted model
plot.agri_project       Plot a project's management units
plot.agri_resample      Plot a resampling scheme
plot_effect             Plot a marginal effect
plot_map                Map predictions, residuals or uncertainty
plot_uncertainty        Plot prediction intervals and their coverage
predict.agri_model      Predict from a fitted model
register_learner        Register a learning algorithm
register_source         Register a covariate source
report                  Write a model card
resample_scheme         Build a resampling scheme
stack_weights           Stack weights from a fitted ensemble
train_model             Train and honestly validate a model
uncertainty             Prediction intervals by split conformal
                        inference
units_of                Accessors for project components
