Stress-Strength Reliability Model with MWD Marginals via Clayton Copula R package SSReliabilityClaytonMWD version 1.0.2 Implements stress-strength reliability models under a dependent framework, where both stress and strength variables follow modified Weibull distributions and their dependence is modeled using a Clayton copula (Kizilaslan (2026) <doi:10.48550/arXiv.2604.12130>). The package provides several estimation procedures for model parameters and the stress-strength reliability R, including two-step maximum likelihood estimation (MLE), least squares estimation (LSE), weighted least squares estimation (WLSE), and maximum product of spacings (MPS). It also provides interval estimation using asymptotic confidence intervals based on MLE and bootstrap confidence intervals for all methods. In addition, functions are included for parameter estimation of the modified Weibull distribution (Lai et al. (2003) <doi:10.1109/TR.2002.805788>) and the two-parameter Weibull distribution, along with utilities to compute their probability density function, cumulative distribution function, quantile function, and to generate random samples. Software Depends: R (>= 4.1.0) Imports: doRNG, knitr, stats Suggests: rmarkdown, numDeriv, testthat (>= 3.0.0) Fatih Kizilaslan <fkizilaslan@yahoo.com> Comprehensive R Archive Network (CRAN) Fatih Kizilaslan [aut, cre] (ORCID: <https://orcid.org/0000-0001-6457-0967>) GPL (>= 3) 2026-05-28 application/tgz https://CRAN.R-project.org/package=SSReliabilityClaytonMWD doi:10.32614/CRAN.package.SSReliabilityClaytonMWD