stabSel-class

Provides regularized structural equation modeling
(regularized SEM) with non-smooth penalty functions (e.g., lasso) building
on 'lavaan'. The package is heavily inspired by the
['regsem'](<https://github.com/Rjacobucci/regsem>) and
['lslx'](<https://github.com/psyphh/lslx>) packages.

Jannik H. Orzek

lessSEM

Non-Smooth Regularization for Structural Equation Models

stabSel-class function

<dl>
<dt><code>regularized</code></dt>
<dd>names of regularized parameters</dd></dl>
<dt><code>tuningParameters</code></dt>
<dd>data.frame with tuning parameter values</dd>
<dt><code>stabilityPaths</code></dt>
<dd>matrix with percentage of parameters being non-zero
averaged over all subsets for each setting of the tuning parameters</dd>
<dt><code>percentSelected</code></dt>
<dd>percentage with which a parameter was selected over all
tuning parameter settings</dd>
<dt><code>selectedParameters</code></dt>
<dd>final selected parameters</dd>
<dt><code>settings</code></dt>
<dd>internal</dd>

Slots

Class for stability selection — stabSel-class

<dl>
<dt><code>regularized</code></dt>
<dd>names of regularized parameters</dd>


<dt><code>tuningParameters</code></dt>
<dd>data.frame with tuning parameter values</dd>


<dt><code>stabilityPaths</code></dt>
<dd>matrix with percentage of parameters being non-zero
averaged over all subsets for each setting of the tuning parameters</dd>


<dt><code>percentSelected</code></dt>
<dd>percentage with which a parameter was selected over all
tuning parameter settings</dd>


<dt><code>selectedParameters</code></dt>
<dd>final selected parameters</dd>


<dt><code>settings</code></dt>
<dd>internal</dd>


</dl>

stabSel-class: Class for stability selection

Description

Arguments

Slots