mutualInformation

Computes the mutual information from one node to all other nodes, or between sets of nodes.

Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.

Sacha Epskamp

qgraph

Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation

Giulio Costantini

Jonas Haslbeck

Adela Isvoranu

Angelique O. J. Cramer

Lourens J. Waldorp

Verena D. Schmittmann

Denny Borsboom

mutualInformation function

<dl> <dt>ggm</dt>
<dd>Partial correlation network. Must be missing if 'covMat' is supplied (supplying both results in an error).</dd> <dt>from</dt>
<dd>Integer or character (node label) vector corresponding to one set of nodes. Defaults to all nodes.</dd> <dt>to</dt>
<dd>Integer or character (node label) vector corresponding to another set of nodes, or <code>'all'</code> to compute the mutual information of each node to all other nodes.</dd> <dt>covMat</dt>
<dd>Variance-covariance matrix. Can be missing if 'ggm' is supplied.</dd></dl>

Arguments

Author

Computes the mutual information between nodes — mutualInformation

<dl>

 <dt>ggm</dt>
<dd>Partial correlation network. Must be missing if 'covMat' is supplied (supplying both results in an error).</dd>

 <dt>from</dt>
<dd>Integer or character (node label) vector corresponding to one set of nodes. Defaults to all nodes.</dd>

 <dt>to</dt>
<dd>Integer or character (node label) vector corresponding to another set of nodes, or <code>'all'</code> to compute the mutual information of each node to all other nodes.</dd>

 <dt>covMat</dt>
<dd>Variance-covariance matrix. Can be missing if 'ggm' is supplied.</dd>

</dl>

Computes the mutual information between nodes

mutualInformation: Computes the mutual information between nodes

Description

Usage

Value

Arguments

Author