purity

Description of the purity function.

Analysis of network community objects with applications to neuroimaging data. There are two main components to this package. The first is the hierarchical multimodal spinglass (HMS) algorithm, which is a novel community detection algorithm specifically tailored to the unique issues within brain connectivity. The other is a suite of semiparametric kernel machine methods that allow for statistical inference to be performed to test for potential associations between these community structures and an outcome of interest (binary or continuous).

Alexandria Jensen

CommKern

Network-Based Communities and Kernel Machine Methods

Peter DeWitt

Debashis Ghosh

purity function

<dl><dt>a</dt>
<dd>a vector of classifications; this must be a vector of characters,
integers, numerics, or a factor, but not a list.</dd>
<dt>b</dt>
<dd>a vector of classifications</dd></dl>

Arguments

Purity — purity

<dl>

<dt>a</dt>
<dd>a vector of classifications; this must be a vector of characters,
integers, numerics, or a factor, but not a list.</dd>


<dt>b</dt>
<dd>a vector of classifications</dd>

</dl>

purity: Purity

Description

Usage

Value

Arguments

Details

See Also

Examples