Package index • nerfplus

All functions

example_data: Example dataset for NeRF+ demonstration

fit_network_embedding(): Wrapper to fit various network embedding methods

get_feature_importances(): Compute feature importances for a NeRF+ model

get_loo(): Compute Leave-One-Out (LOO) predictions and parameter changes for a NeRF+ model

interpret_nerfplus(): Interpret NeRF+ Model

nerfplus(): Fit Network-assisted Random Forest+ (NeRF+)

nerfplus_cv(): Fit Network-assisted Random Forest+ (NeRF+) with Cross-Validation

oos_network_embedding(): Out-of-sample network embedding method

predict(<nerfplus>): Predict method for a NeRF+ model

predict(<rnc>): Predict method for rnc (regression with network cohesion) objects

rnc(): Fit regression with network cohesion

rnc_cv(): Fit regression with network cohesion with cross-validation wrapper

run_app(): Run Shiny NeRF+ Interpret application