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

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>.

Version:	1.0.0
Imports:	Matrix, methods, lavaan, MASS, purrr, semTools, stats, stringr
Published:	2024-08-23
DOI:	10.32614/CRAN.package.silp
Author:	Yi-Hsuan Tseng [aut, cre], Po-Hsien Huang [aut]
Maintainer:	Yi-Hsuan Tseng <r12227115 at g.ntu.edu.tw>
BugReports:	https://github.com/TomBJJJ/silp/issues
License:	MIT + file LICENSE
URL:	https://github.com/TomBJJJ/silp
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	silp results

Documentation:

Reference manual:

silp.pdf

Downloads:

Package source:	silp_1.0.0.tar.gz
Windows binaries:	r-devel: silp_1.0.0.zip, r-release: silp_1.0.0.zip, r-oldrel: silp_1.0.0.zip
macOS binaries:	r-release (arm64): silp_1.0.0.tgz, r-oldrel (arm64): silp_1.0.0.tgz, r-release (x86_64): silp_1.0.0.tgz, r-oldrel (x86_64): silp_1.0.0.tgz

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