Silp-class

Utilizes the Reliability-Adjusted Product Indicator (RAPI) method to
estimate effects among latent variables, thus allowing for more precise definition and analysis of
mediation and moderation models. Our simulation studies reveal that while 'silp' may exhibit
instability with smaller sample sizes and lower reliability scores (e.g., N = 100, 'omega' = 0.7),
implementing nearest positive definite matrix correction and bootstrap confidence interval
estimation can significantly ameliorate this volatility. When these adjustments are applied,
'silp' achieves estimations akin in quality to those derived from LMS. In conclusion, the 'silp'
package is a valuable tool for researchers seeking to explore complex relational structures between
variables without resorting to commercial software.
Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0>
Hsiao et al.(2018)<doi:10.1177/0013164416679877>.

Yi-Hsuan Tseng

silp

Conditional Process Analysis (CPA) via SEM Approach

Po-Hsien Huang

Silp-class function

<dl>
<dt><code>raw_model</code></dt>
<dd>The user-specified <code>lavaan</code> syntax model.</dd></dl>
<dt><code>rapi_model</code></dt>
<dd>The revised model with the RAPI method.</dd>
<dt><code>time</code></dt>
<dd>The operation time for <code>silp</code> (in seconds).</dd>
<dt><code>npd</code></dt>
<dd>Logical. Whether the nearest positive definite matrix is used.</dd>
<dt><code>raw_data</code></dt>
<dd>The input data.</dd>
<dt><code>fa</code></dt>
<dd>An object of class <code>lavaan</code> representing the CFA result.</dd>
<dt><code>reliability</code></dt>
<dd>The reliability index.</dd>
<dt><code>composite_data</code></dt>
<dd>The composite data for RAPI.</dd>
<dt><code>pa</code></dt>
<dd>The result of <code>silp</code>.</dd>
<dt><code>boot</code></dt>
<dd>The results of <code>resilp</code> from R bootstrap samples.</dd>
<dt><code>origine</code></dt>
<dd>The original <code>silp</code> estimation.</dd>
<dt><code>time_resilp</code></dt>
<dd>The operation time for <code>resilp</code> (in seconds).</dd>
<dt><code>tech</code></dt>
<dd>detail of <code>resilp</code> operation</dd>

Slots

Define silp class — Silp-class

<dl>
<dt><code>raw_model</code></dt>
<dd>The user-specified <code>lavaan</code> syntax model.</dd>


<dt><code>rapi_model</code></dt>
<dd>The revised model with the RAPI method.</dd>


<dt><code>time</code></dt>
<dd>The operation time for <code>silp</code> (in seconds).</dd>


<dt><code>npd</code></dt>
<dd>Logical. Whether the nearest positive definite matrix is used.</dd>


<dt><code>raw_data</code></dt>
<dd>The input data.</dd>


<dt><code>fa</code></dt>
<dd>An object of class <code>lavaan</code> representing the CFA result.</dd>


<dt><code>reliability</code></dt>
<dd>The reliability index.</dd>


<dt><code>composite_data</code></dt>
<dd>The composite data for RAPI.</dd>


<dt><code>pa</code></dt>
<dd>The result of <code>silp</code>.</dd>


<dt><code>boot</code></dt>
<dd>The results of <code>resilp</code> from R bootstrap samples.</dd>


<dt><code>origine</code></dt>
<dd>The original <code>silp</code> estimation.</dd>


<dt><code>time_resilp</code></dt>
<dd>The operation time for <code>resilp</code> (in seconds).</dd>


<dt><code>tech</code></dt>
<dd>detail of <code>resilp</code> operation</dd>


</dl>

Silp-class: Define silp class

Description

Arguments

Slots