Statistical Process Control Based on Gamma-Frailty AFT Models
Overview
Implements statistical process control ('SPC') monitoring schemes for heterogeneous reliability observations using Accelerated Failure Time ('AFT') models integrated with continuous gamma frailty. It accommodates both uncensored and right-censored reliability observations in the presence of observed and unobserved covariates. Provides Phase I maximum likelihood estimation of Weibull 'AFT' gamma frailty model parameters, and Phase II monitoring procedures including probability-limits-based control charts, exponentially weighted moving average ('EWMA') charts with conditional expected values, and likelihood-ratio cumulative sum ('CUSUM') control charts. Competing 'CUSUM' schemes (ignoring unobserved frailty or both covariates) and Average Run Length ('ARL') simulation utilities are also provided. The statistical methodology is based on Asadzadeh (2022) doi:10.1080/00949655.2021.1959582.
Install
Health
- OK13 OKNow
- OK6 OK2026-08-09
Documentation
- Help pages
- 10 (1 internal)includes a package overview page
- Examples that run
- 88%7 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 80%
Downloads
Dependencies
Installing GammaFrailtySPC adds 6 packages (2 with compiled code, 3.1 MB of source tarballs). Heaviest: sandwich 1.4 MB, maxLik 791 KB, zoo 675 KB.
Code & Tests
Datasets
People & History
- 0.1.0Latest2026-08-08 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-08
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 2.3 KB / 1 file
- Download size
- 40 KB
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