Multiple-Steps Step-Stress Accelerated Degradation Modeling
Overview
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.
Install
Health
- OK13 OKNow
- OK6 OK2026-08-08
Documentation
- Help pages
- 14
- Examples that run
- 100%14 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 43%
Downloads
Dependencies
Installing MultiStepSSAD adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
- 0.1.0Latest2026-08-07 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-07
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 4.3 KB / 4 files
- Download size
- 29 KB
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