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>.

Allows user to conduct a simulation based quantitative
             bias analysis using covariate structures generated with individual-level
             data to characterize the bias arising from unmeasured confounding. Users
             can specify their desired data generating mechanisms to simulate data
             and quantitatively summarize findings in an end-to-end application
             using this package.

It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDEs <doi:10.18637/jss.v096.i02>. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.