R: Empirical Bayes Estimation of Dynamic Bayesian Networks

# Empirical Bayes Estimation of Dynamic Bayesian Networks

## Documentation for package ‘ebdbNet’ version 1.2.8

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

ebdbNet-package | Empirical Bayes Dynamic Bayesian Network (EBDBN) Inference
calcAUC | Calculate the Approximate Area Under the Curve (AUC)
calcSensSpec | Calculate Sensitivity and Specificity of a Network
dataFormat | Change the Format of Longitudinal Data to be Compatible with EBDBN
ebdbn | Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
ebdbn-internal | Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
ebdbNet | Empirical Bayes Dynamic Bayesian Network (EBDBN) Inference
fdbkFunc | Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
hankel | Perform Singular Value Decomposition of Block-Hankel Matrix
plot.ebdbNet | Visualize EBDBN network
simulateVAR | Simulate Simple Autoregressive Process
sumFunc | Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation