MultiStepSSAD: Multiple-Steps Step-Stress Accelerated Degradation Modeling

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.

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	stats, graphics, grDevices, utils
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-08-07
DOI:	10.32614/CRAN.package.MultiStepSSAD
Author:	Shikhar Tyagi [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer:	Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	MultiStepSSAD results

Documentation:

Reference manual:	MultiStepSSAD.html , MultiStepSSAD.pdf
Vignettes:	Multiple-Steps Step-Stress Accelerated Degradation Modeling (source, R code)

Downloads:

Package source:	MultiStepSSAD_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: MultiStepSSAD_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): MultiStepSSAD_0.1.0.tgz, r-oldrel (arm64): MultiStepSSAD_0.1.0.tgz, r-release (x86_64): MultiStepSSAD_0.1.0.tgz, r-oldrel (x86_64): MultiStepSSAD_0.1.0.tgz

Linking:

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