Bayesian Neural Network with 'Stan'

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Documentation for package ‘bnns’ version 1.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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