Custom_activation       Generate a custom activation function.
FLOW                    Class to generate a normalizing flow
Gallstone_Dataset       Gallstone Dataset
LBBNN_Conv2d            Class to generate an LBBNN convolutional layer.
LBBNN_Linear            Class to generate an LBBNN feed forward layer
LBBNN_Net               Feed-forward Latent Binary Bayesian Neural
                        Network (LBBNN)
LBBNN_plot              Function to plot an input skip structure after
                        removing weights in non-active paths.
Mice_Dataset            Mice Dataset
RNVP_layer              Single RNVP transform layer.
Raisin_Dataset          Raisins Dataset
coef.LBBNN_Net          Get model coefficients (local explanations) of
                        an 'LBBNN_Net' object
get_dataloaders         Wrapper around 'torch::dataloader'
get_local_explanations_gradient
                        Function to get gradient based local
                        explanations for input-skip LBBNNs.
mgp_dataset             Auto MPG daataset
plot.LBBNN_Net          Plot 'LBBNN_Net' objects
plot_local_explanations_gradient
                        Plot the gradient based local explanations for
                        one sample with input-skip LBBNNs.
predict.LBBNN_Net       Obtain predictions from the variational
                        posterior of an 'LBBNN model'
print.LBBNN_Net         Print summary of an 'LBBNN_Net' object
quants                  Function to obtain empirical 95% confidence
                        interval, including the mean
residuals.LBBNN_Net     Residuals from LBBNN fit
summary.LBBNN_Net       Summary of LBBNN fit
train_LBBNN             Train an instance of 'LBBNN_Net'.
validate_LBBNN          Validate a trained LBBNN model.
