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ebdbNet (version 1.2.1)

Empirical Bayes Estimation of Dynamic Bayesian Networks

Description

This package is used to infer the adjacency matrix of a network from time course data using an empirical Bayes estimation procedure based on Dynamic Bayesian Networks.

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Version

Install

install.packages('ebdbNet')

Monthly Downloads

291

Version

1.2.1

License

GPL (>= 3)

Maintainer

Andrea Rau

Last Published

February 28th, 2012

Functions in ebdbNet (1.2.1)

dataFormat

Change the Format of Longitudinal Data to be Compatible with EBDBN
hankel

Perform Singular Value Decomposition of Block-Hankel Matrix
simulateVAR

Simulate Simple Autoregressive Process
ebdbn

Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
ebdbn-internal

Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation
plot.ebdbNet

Visualize EBDBN network
calcAUC

Calculate the Approximate Area Under the Curve (AUC)
ebdbNet-package

Empirical Bayes Dynamic Bayesian Network (EBDBN) Inference
calcSensSpec

Calculate Sensitivity and Specificity of a Network
zCutoff

Calculate Z-Scores Based on Posterior Means and Variances
visualize

Visualize Network Structure
fdbkFunc

Feedback Function
sumFunc

Sum Function
sensitivity

Calculate Sensitivity and Specificity of a Network
simFunc

Simulate Simple Autoregressive Process