Function reference • IUCNN

All functions
`IUCNN-package` `IUCNN`	Neural Networks to Approximate IUCN Red List Conservation Assessments
`iucnn_best_model()`	Select the Best Model After Model-testing
`iucnn_bias_features()`	Extract Bias Features from Occurrence Records
`iucnn_biome_features()`	Obtain Biome Features from Occurrence Records
`iucnn_climate_features()`	Extract Climatic Features from Occurrence Records
`iucnn_cnn_features()`	Prepare Features for a CNN model
`iucnn_cnn_train()`	Train a CNN model
`iucnn_feature_importance()`	Evaluate relative importance of training features
`iucnn_footprint_features()`	Extract Human Footprint Index Features from Occurrence Records
`iucnn_geography_features()`	Extract Geographic Features from Occurrence Records
`iucnn_modeltest()`	Model-Testing IUCNN Models using Cross-Validation (Hyperparameter-Tuning)
`iucnn_phylogenetic_features()`	Extract Phylogenetic Features Based on Phylogenetic Eigenvectors
`iucnn_predict_status()`	Predict IUCN Categories from Features
`iucnn_prepare_features()`	Prepare features for an IUCNN model
`iucnn_prepare_labels()`	Format IUCN Red List categories for IUCNN
`iucnn_prepare_phy()`	Prepare Phylogenetic Eigenvectors to Extract Phylogenetic Features
`iucnn_train_model()`	Train an IUCNN Model
`prediction_occ`	Geographic Occurrence Records for Not Evaluated Orchids
`training_labels`	IUCN threat categories for 884 orchid species
`training_occ`	Geographic Occurrence Records for Orchids with IUCN assessment

Reference