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MultiStepSSAD  

Multiple-Steps Step-Stress Accelerated Degradation Modeling
View on CRAN: Click here


Download and install MultiStepSSAD package within the R console
Install from CRAN:
install.packages("MultiStepSSAD")

Install from Github:
library("remotes")
install_github("cran/MultiStepSSAD")

Install by package version:
library("remotes")
install_version("MultiStepSSAD", "0.1.0")



Attach the package and use:
library("MultiStepSSAD")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-07
Latest Update: 2026-08-07
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) <doi:10.1080/03610918.2010.496060>. Features maximum likelihood estimation (MLE), Bayesian Markov chain Monte Carlo (MCMC) sampling, Geweke convergence diagnostics, and reliability predictions under normal operating stress conditions.
How to cite:
Shikhar Tyagi (2026). MultiStepSSAD: Multiple-Steps Step-Stress Accelerated Degradation Modeling. R package version 0.1.0, https://cran.r-project.org/web/packages/MultiStepSSAD. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for MultiStepSSAD
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