Conditional Process Analysis (CPA) via SEM Approach R package silp version 1.0.3 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>. Software Depends: R(>= 4.1.0) Imports: Matrix, methods, lavaan, MASS, purrr, semTools, stats, stringr Yi-Hsuan Tseng <r12227115@g.ntu.edu.tw> Comprehensive R Archive Network (CRAN) Yi-Hsuan Tseng [aut, cre], Po-Hsien Huang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=silp/LICENSE) 2025-04-06 application/tgz https://CRAN.R-project.org/package=silp doi:10.32614/CRAN.package.silp