An Integration Framework for Agricultural Analytics

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Documentation for package ‘AgriFusionR’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS

Help Pages

add_climate	Attach a covariate layer to a project
add_layer	Attach a covariate layer to a project
add_satellite	Attach a covariate layer to a project
add_soil	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
explain.agri_model	Explain a fitted model
growing_degree_days	Growing degree days
list_learners	List registered sources and learners
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
provenance	Accessors for project components
register_learner	Register a learning algorithm
register_source	Register a covariate source
report	Write a model card
report.agri_model	Write a model card
resample_scheme	Build a resampling scheme
seasons_of	Accessors for project components
stack_weights	Stack weights from a fitted ensemble
train_model	Train and honestly validate a model
uncertainty	Prediction intervals by split conformal inference
uncertainty.agri_model	Prediction intervals by split conformal inference
units_of	Accessors for project components