summary.lslx

<code>summary.lslx()</code> is an <code>S3</code> interface for summarizing <code>lslx</code> fitting results.

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

summary.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.</dd>
<dt>lambda</dt>
<dd>A <code>numeric</code> to specify a chosen optimal lambda value.</dd>
<dt>delta</dt>
<dd>A <code>numeric</code> to specify a chosen optimal lambda value.</dd>
<dt>...</dt>
<dd>Other arguments. For details, please see the <code>$summarize()</code> method in <code>lslx</code>.</dd></dl>

Arguments

S3 method to summarize lslx fitting results — summary.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.</dd>


<dt>lambda</dt>
<dd>A <code>numeric</code> to specify a chosen optimal lambda value.</dd>


<dt>delta</dt>
<dd>A <code>numeric</code> to specify a chosen optimal lambda value.</dd>


<dt>...</dt>
<dd>Other arguments. For details, please see the <code>$summarize()</code> method in <code>lslx</code>.</dd>

</dl>

summary.lslx: S3 method to summarize `lslx` fitting results

Description

Usage

Arguments