getMaxCov

Get the maximum [absolute] value of a covariance matrix.

Model selection for penalized graphical models using the Stability Approach to Regularization Selection ('StARS'), with options for speed-ups including Bounded StARS (B-StARS), batch computing, and other stability metrics (e.g., graphlet stability G-StARS). Christian L. Müller, Richard Bonneau, Zachary Kurtz (2016) <arXiv:1605.07072>.

Zachary Kurtz

pulsar

Parallel Utilities for Lambda Selection along a Regularization
Path

Christian Müller

getMaxCov function

<dl><dt>x</dt>
<dd>A matrix/Matrix of data or covariance</dd>
<dt>cov</dt>
<dd>Flag if <code>x</code> is a covariance matrix, Set False is <code>x</code> is an nxp data matrix. By default, if <code>x</code> is symmetric, assume it is a covariance matrix.</dd>
<dt>abs</dt>
<dd>Flag to get max absolute value</dd>
<dt>diag</dt>
<dd>Flag to include diagonal entries in the max</dd></dl>

Arguments

Max value of cov — getMaxCov

<dl>

<dt>x</dt>
<dd>A matrix/Matrix of data or covariance</dd>


<dt>cov</dt>
<dd>Flag if <code>x</code> is a covariance matrix, Set False is <code>x</code> is an nxp data matrix. By default, if <code>x</code> is symmetric, assume it is a covariance matrix.</dd>


<dt>abs</dt>
<dd>Flag to get max absolute value</dd>


<dt>diag</dt>
<dd>Flag to include diagonal entries in the max</dd>

</dl>

getMaxCov: Max value of cov

Description

Usage

Arguments

Details

See Also