The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

IGPFrailty: Inverse Gaussian Process Degradation Models with Frailty

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.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, graphics, grDevices, utils
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-08-25
DOI: 10.32614/CRAN.package.IGPFrailty
Author: Shikhar Tyagi ORCID iD [aut, cre], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: IGPFrailty results

Documentation:

Reference manual: IGPFrailty.html , IGPFrailty.pdf
Vignettes: Inverse Gaussian Process Degradation Models with Frailty (source, R code)

Downloads:

Package source: IGPFrailty_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: IGPFrailty_0.1.0.zip, r-oldrel: IGPFrailty_0.1.0.zip
macOS binaries: r-release (arm64): IGPFrailty_0.1.0.tgz, r-oldrel (arm64): IGPFrailty_0.1.0.tgz, r-release (x86_64): IGPFrailty_0.1.0.tgz, r-oldrel (x86_64): IGPFrailty_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=IGPFrailty to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.