bnns                    Generic Function for Fitting Bayesian Neural
                        Network Models
bnns.default            Bayesian Neural Network Model Using
                        Formula(default) Interface
bnns_params             Parameter functions for Bayesian Neural
                        Networks
load_bnns               Load a fitted bnns model from disk
loo.bnns                Leave-One-Out Cross-Validation (LOO) for bnns
                        models
measure_bin             Measure Performance for Binary Classification
                        Models
measure_cat             Measure Performance for Multi-Class
                        Classification Models
measure_cont            Measure Performance for Continuous Response
                        Models
opencl_diagnostics      OpenCL Diagnostic Information
plot.bnns               Plot diagnostics for a fitted Bayesian Neural
                        Network
predict.bnns            Predictions from a fitted Bayesian Neural
                        Network
print.bnns              Print Method for '"bnns"' Objects
relu                    relu transformation
save_bnns               Save a fitted bnns model to disk
sigmoid                 sigmoid transformation
softmax_3d              Apply Softmax Function to a 3D Array
softplus                softplus transformation
summary.bnns            Summary of a Bayesian Neural Network (BNN)
                        Model
waic.bnns               Watanabe-Akaike Information Criterion (WAIC)
                        for bnns models
