residuals.lslx

<code>residuals.lslx()</code> is an <code>S3</code> interface for extracting residuals from a <code>lslx</code> object.

Fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL) or penalized least squares (PLS). For details, please see Huang (2020) <doi:10.18637/jss.v093.i07>.

PoHsien Huang

lslx

Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood or Least Squares

Po-Hsien Huang

Wen-Hsin Hu

residuals.lslx function

<dl><dt>object</dt>
<dd>A fitted <code>lslx</code> object.</dd>
<dt>selector</dt>
<dd>A <code>character</code> to specify a selector for determining an optimal penalty level.
Its value can be any one in <code>"aic"</code>, <code>"aic3"</code>, <code>"caic"</code>, <code>"bic"</code>, <code>"abic"</code>, <code>"hbic"</code>,
or their robust counterparts <code>"raic"</code>, <code>"raic3"</code>, <code>"rcaic"</code>, <code>"rbic"</code>, <code>"rabic"</code>, <code>"rhbic"</code> if raw data is available.</dd>
<dt>lambda</dt>
<dd>A <code>numeric</code> to specific a chosen optimal penalty level. 
If the specified <code>lambda</code> is not in <code>lambda_grid</code>, a nearest legitimate value will be used.</dd>
<dt>delta</dt>
<dd>A <code>numeric</code> to specific a chosen optimal convexity level.
If the specified <code>delta</code> is not in <code>delta_grid</code>, a nearest legitimate value will be used.</dd>
<dt>...</dt>
<dd>Other arguments. For details, please see the <code>$extracted_residual_mean()</code> and the <code>$extracted_residual_cov()</code> methods in <code>lslx</code>.</dd></dl>

Arguments

S3 method to extract residual moments from lslx — residuals.lslx

<dl>

<dt>object</dt>
<dd>A fitted <code>lslx</code> object.</dd>


<dt>selector</dt>
<dd>A <code>character</code> to specify a selector for determining an optimal penalty level.
Its value can be any one in <code>"aic"</code>, <code>"aic3"</code>, <code>"caic"</code>, <code>"bic"</code>, <code>"abic"</code>, <code>"hbic"</code>,
or their robust counterparts <code>"raic"</code>, <code>"raic3"</code>, <code>"rcaic"</code>, <code>"rbic"</code>, <code>"rabic"</code>, <code>"rhbic"</code> if raw data is available.</dd>


<dt>lambda</dt>
<dd>A <code>numeric</code> to specific a chosen optimal penalty level. 
If the specified <code>lambda</code> is not in <code>lambda_grid</code>, a nearest legitimate value will be used.</dd>


<dt>delta</dt>
<dd>A <code>numeric</code> to specific a chosen optimal convexity level.
If the specified <code>delta</code> is not in <code>delta_grid</code>, a nearest legitimate value will be used.</dd>


<dt>...</dt>
<dd>Other arguments. For details, please see the <code>$extracted_residual_mean()</code> and the <code>$extracted_residual_cov()</code> methods in <code>lslx</code>.</dd>

</dl>

residuals.lslx: S3 method to extract residual moments from `lslx`

Description

Usage

Arguments