Inverse Gaussian Process Degradation Models with Frailty
Overview
Maximum likelihood estimation and reliability inference for Inverse Gaussian Process (IGP) degradation models with gamma and inverse Gaussian frailty terms, as formulated by Morita et al. (2021) doi:10.1002/qre.2762. Classical IGP degradation models are described in Wasan (1968) and Meeker and Escobar (1998, ISBN:978-0471143284). The package provides tools for calculating lifetime cumulative distribution functions, probability density functions, lifetime quantiles with confidence intervals, posterior individual unit frailties, and goodness-of-fit diagnostics.
Install
Health
NOTEtop-level filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Non-standard file/directory found at top level: ‘cran-comments.md’
- NOTE7 OK, 6 NOTENow
- NOTE5 OK, 3 NOTE2026-08-26
Documentation
- Help pages
- 9
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 84%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Downloads
Dependencies
Installing IGPFrailty adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
- 0.1.0Latestfirst seen 2026-08-25 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First seen
- 2026-08-25
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 3.7 KB / 2 files
- Download size
- 62 KB
Cite
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