R: Bayesian Neural Network with 'Stan'

# Bayesian Neural Network with 'Stan'

## Documentation for package ‘bnns’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

act_fn | Parameter functions for Bayesian Neural Networks
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
chains | Parameter functions for Bayesian Neural Networks
iter | Parameter functions for Bayesian Neural Networks
L | 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
nodes | Parameter functions for Bayesian Neural Networks
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
warmup | Parameter functions for Bayesian Neural Networks