Package: MultiStepSSAD Type: Package Title: Multiple-Steps Step-Stress Accelerated Degradation Modeling Version: 0.1.0 Authors@R: c( person("Shikhar", "Tyagi", email = "shikhar1093tyagi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1606-0844")), person("Arvind", "Pandey", email = "arvindmzu@gmail.com", role = "aut"), person("Bhupendra", "Singh", email = "bhupendra.rana@gmail.com", role = "aut"), person("Vrijesh", "Tripathi", email = "vrijesh.tripathi@uwi.edu", role = "aut") ) Description: Implements statistical methods for multiple-steps step-stress accelerated degradation testing (SSADT) based on Wiener processes and Gamma processes as described by Pan and Balakrishnan (2010) . Features maximum likelihood estimation (MLE), Bayesian Markov chain Monte Carlo (MCMC) sampling, Geweke convergence diagnostics, and reliability predictions under normal operating stress conditions. License: GPL (>= 3) Depends: R (>= 4.0.0) Imports: stats, graphics, grDevices, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-09-22 11:15:28 UTC; root Author: Shikhar Tyagi [aut, cre] (ORCID: ), Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut] Maintainer: Shikhar Tyagi Repository: https://shikhartyagi.r-universe.dev Date/Publication: 2026-08-07 21:00:07 UTC RemoteUrl: https://github.com/cran/MultiStepSSAD RemoteRef: HEAD RemoteSha: 6670f90abe19b07dbcd72649f5cecff199751d44