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ebdbNet (version 1.1)

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

1.1

License

GPL (>= 3)

Maintainer

Andrea Rau

Last Published

January 21st, 2010

Functions in ebdbNet (1.1)

simFunc

Simulate Simple Autoregressive Process

ebdbn

Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation

sensitivity

Calculate Sensitivity and Specificity of a Network

fdbkFunc

Feedback Function

ebdbNet-package

Empirical Bayes Dynamic Bayesian Network (EBDBN) Inference

visualize

Visualize Network Structure

dataFormat

Change the Format of Longitudinal Data to be Compatible with EBDBN

zCutoff

Calculate Z-Scores Based on Posterior Means and Variances

calcAUC

Calculate the Approximate Area Under the Curve (AUC)

sumFunc

Sum Function

hankel

Perform Singular Value Decomposition of Block-Hankel Matrix