ebdbn-internal

fdbkFunc

sumFunc

Internal functions for the ebdbNet package.

methods

Infer the adjacency matrix of a
network from time course data using an empirical Bayes
estimation procedure based on Dynamic Bayesian Networks.

Andrea Rau

ebdbNet

Empirical Bayes Estimation of Dynamic Bayesian Networks

ebdbn-internal function

<dl> <dt>x</dt>
<dd>Vector of singular values from singular value decomposition of block-Hankel matrix</dd> <dt>cutoff</dt>
<dd>Value to determine cutoff to be considered for singular values (e.g., 0.90)</dd> <dt>y</dt>
<dd>A list of R (PxT) matrices of observed time course profiles</dd></dl>

Arguments

Author

Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation — ebdbn-internal

<dl>

 <dt>x</dt>
<dd>Vector of singular values from singular value decomposition of block-Hankel matrix</dd>

 <dt>cutoff</dt>
<dd>Value to determine cutoff to be considered for singular values (e.g., 0.90)</dd>

 <dt>y</dt>
<dd>A list of R (PxT) matrices of observed time course profiles</dd>

</dl>

ebdbn-internal: Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation

Description

Usage

Arguments

Author

See Also