DDGraphEdge-class

DDGraphEdge

Distinguish direct from indirect interactions in gene
regulation and infer combinatorial code from highly correlated
variables such as transcription factor binding profiles. The
package implements the Neighbourhood Consistent PC algorithm
(NCPC) and draws Direct Dependence Graphs to represent
dependence structure around a target variable. The package also
provides a unified interface to other Graphical Modelling
(Bayesian Network) packages for distinguishing direct and
indirect interactions.

Robert Stojnic

ddgraph

Distinguish direct and indirect interactions with Graphical
Modelling

DDGraphEdge-class function

<dl>
<dt><code>fromName</code>:</dt><dd>(<code><a rd-options="" href="/link/character?package=ddgraph&version=1.16.0" data-mini-rdoc="ddgraph::character">character</a></code>) the name of the first variable from which the edge goes</dd>
<dt><code>toInx</code>:</dt><dd>(<code><a rd-options="" href="/link/numeric?package=ddgraph&version=1.16.0" data-mini-rdoc="ddgraph::numeric">numeric</a></code>) the index of the second variable to which the edge goes</dd>
<dt><code>toName</code>:</dt><dd>(<code><a rd-options="" href="/link/character?package=ddgraph&version=1.16.0" data-mini-rdoc="ddgraph::character">character</a></code>) the name of the second variable to which the edge goes</dd>
<dt><code>ciTests</code>:</dt><dd>(<code><a rd-options="" href="/link/list?package=ddgraph&version=1.16.0" data-mini-rdoc="ddgraph::list">list</a></code>) a list of associated <code>CITestResult</code> objects</dd>
<dt><code>type</code>:</dt><dd>(<code><a rd-options="" href="/link/character?package=ddgraph&version=1.16.0" data-mini-rdoc="ddgraph::character">character</a></code>) type of edge: "directed", "undirected", "bidirectional", "dashed"</dd>
</dl>

DDGraphEdge-class: An edge in an DDGraph...

Description

Arguments

Slots

Methods

Details