silp: Conditional Process Analysis (CPA) via SEM Approach

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>.

Getting started

Package details

AuthorYi-Hsuan Tseng [aut, cre], Po-Hsien Huang [aut]
MaintainerYi-Hsuan Tseng <r12227115@g.ntu.edu.tw>
LicenseMIT + file LICENSE
Version1.0.3
URL https://github.com/TomBJJJ/silp
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("silp")

Try the silp package in your browser

Any scripts or data that you put into this service are public.

silp documentation built on April 11, 2025, 6:18 p.m.