logLikelihood-class

Class for log-likelihood of regularized SEM. Note: we define a custom logLik -
Function because the generic one is using df = number of parameters which might be confusing.

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

logLikelihood-class function

<dl>
<dt><code>logLik</code></dt>
<dd>log-Likelihood</dd></dl>
<dt><code>nParameters</code></dt>
<dd>number of parameters in the model</dd>
<dt><code>N</code></dt>
<dd>number of persons in the data set</dd>

Slots

Class for log-likelihood of regularized SEM. Note: we define a custom logLik -
Function because the generic one is using df = number of parameters which might be confusing. — logLikelihood-class

<dl>
<dt><code>logLik</code></dt>
<dd>log-Likelihood</dd>


<dt><code>nParameters</code></dt>
<dd>number of parameters in the model</dd>


<dt><code>N</code></dt>
<dd>number of persons in the data set</dd>


</dl>

Class for log-likelihood of regularized SEM. Note: we define a custom logLik -
Function because the generic one is using df = number of parameters which might be confusing.

logLikelihood-class: Class for log-likelihood of regularized SEM. Note: we define a custom logLik - Function because the generic one is using df = number of parameters which might be confusing.

Description

Arguments

Slots