Fitting Interpretable Neural Additive Models Using Orthogonalization

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Documentation for package ‘ONAM’ version 1.1.0

• DESCRIPTION file
• Package README

Help Pages

build_dnn	Build a stacked dense (DNN) model constructor
decompose	Get variance decomposition of orthogonal neural additive model
gen_sobol	Compute Generalized Sobol Indices for dependent features
install_conda_env	Set up conda environment for keras functionality
load_onam	Load a fitted onam model from disk
onam	Fit orthogonal neural additive model
plot.gen_sobol	Plot generalized Sobol indices
plot.var_decomp	Plot variance decomposition
plot_inter_effect	Plot Interaction Effect
plot_main_effect	Plot Main Effect
predict	Evaluate orthogonal neural additive model
predict.onam	Evaluate orthogonal neural additive model
print.summary.onam	Get summary of an onam object
save_onam	Save a fitted onam model to disk
summary.onam	Get summary of an onam object