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interventionalDBN (version 1.2.2)

Interventional Inference for Dynamic Bayesian Networks

Description

This package allows a dynamic Bayesian network to be inferred from microarray timecourse data with interventions (inhibitors).

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Version

Install

install.packages('interventionalDBN')

Monthly Downloads

6

Version

1.2.2

License

GPL (>= 2)

Maintainer

Simon Spencer

Last Published

May 30th, 2014

Functions in interventionalDBN (1.2.2)

warshall

Find the largest edge probability threshold that connects a pair of nodes.
formatData

Format a microarray spreadsheet ready for interventional network inference function
plotMaxML

Plot the performance of maximum marginal likelihood (Empirical Bayes).
interventionEffects

Calculate interventional effects
countGraphs

Count the number of possible parents
trueMatrix

The true edge matrix used to generate interventionalData.
interventionalInferenceAdvanced

Dynamic Bayesian Network inference with interventions.
interventionalInference

Dynamic Bayesian Network inference with interventions.
nxt

Produces the next set of parents from an existing set of parents (internal).
linesROC

Add an ROC curve to an existing plot.
interventionalData

Simulated micro-array timecourse data speadsheet.
interventionalDBN-package

Interventional Inference for Dynamic Bayesian Networks