ExtractICA

Internal function for CICA package

internal

Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.

Jeffrey Durieux

CICA

Clusterwise Independent Component Analysis

ExtractICA function

<dl><dt>DataList</dt>
<dd>a list object to perform Group ICAs on</dd>
<dt>nComp</dt>
<dd>number of ICA components to extract</dd>
<dt>method</dt>
<dd>either fastICA else EVD is used</dd>
<dt>covL</dt>
<dd>large precomputed covariance matrix, used for EVD method</dd>
<dt>indexList</dt>
<dd>list with indices for extract covariances based on cluster indices</dd></dl>

Arguments

Extract Group ICA parameters — ExtractICA

<dl>

<dt>DataList</dt>
<dd>a list object to perform Group ICAs on</dd>


<dt>nComp</dt>
<dd>number of ICA components to extract</dd>


<dt>method</dt>
<dd>either fastICA else EVD is used</dd>


<dt>covL</dt>
<dd>large precomputed covariance matrix, used for EVD method</dd>


<dt>indexList</dt>
<dd>list with indices for extract covariances based on cluster indices</dd>

</dl>

ExtractICA: Extract Group ICA parameters

Description

Usage

Value

Arguments