resilp

An extended function from <code>silp</code>, applying the bootstrap method to obtain standard error estimation.
Note: When using <code>silp</code> with the nearest positive definite matrix (npd = TRUE), this function should be used to obtain
reliable inference.

Provides 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 latent moderated structural equations (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.
Hsiao et al.(2018)<doi:10.1177/0013164416679877>
Kline & Moosbrugger(2000)<doi:10.1007/BF02296338>
Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0>.

Yi-Hsuan Tseng

silp

Conditional Process Analysis (CPA) via Structural Equation
Modeling (SEM) Approach

Po-Hsien Huang

resilp function

<dl><dt>fit</dt>
<dd>A result object from <code>silp</code>.</dd>
<dt>R</dt>
<dd>Integer. The number of bootstrap samples. Default is 2000.</dd>
<dt>progress</dt>
<dd>Logical. Whether to display a progress bar. Default is <code>FALSE</code>.</dd></dl>

Arguments

resilp — resilp

<dl>

<dt>fit</dt>
<dd>A result object from <code>silp</code>.</dd>


<dt>R</dt>
<dd>Integer. The number of bootstrap samples. Default is 2000.</dd>


<dt>progress</dt>
<dd>Logical. Whether to display a progress bar. Default is <code>FALSE</code>.</dd>

</dl>

resilp: resilp

Description

Usage

Value

Arguments

Examples