Introduction | Application 1: GaAs Laser Degradation Data | Model Fitting and Selection | Posterior Individual Frailty Estimation | Implied Lifetime Distribution and Quantiles | Diagnostic Visualizations | Application 2: Fatigue Crack Size Growth Data | Simulation Study | References
Package: IGPFrailty 0.1.0
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.
Authors:
IGPFrailty_0.1.0.tar.gz
IGPFrailty_0.1.0.zip(r-4.7-any)IGPFrailty_0.1.0.zip(r-4.6-any)IGPFrailty_0.1.0.zip(r-4.5-any)
IGPFrailty_0.1.0.tgz(r-4.6-any)IGPFrailty_0.1.0.tgz(r-4.5-any)
IGPFrailty_0.1.0.tar.gz(r-4.7-any)IGPFrailty_0.1.0.tar.gz(r-4.6-any)
IGPFrailty_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
IGPFrailty/json (API)
| # Install 'IGPFrailty' in R: |
| install.packages('IGPFrailty', repos = c('https://shikhartyagi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b69edaba50. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 119 | ||
| source / vignettes | OK | 142 | ||
| linux-release | OK | 105 | ||
| macos-release | OK | 104 | ||
| macos-oldrel | OK | 88 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 77 |
Exports:ad_test_igd_igigp_fitindividual_frailtylifetime_distlr_testp_igq_igr_igsim_igp
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Goodness-of-Fit and Diagnostic Tests for Inverse Gaussian Process Models | ad_test_ig lr_test |
| Fatigue Crack Growth Degradation Dataset | crack |
| Inverse Gaussian Distribution Functions | d_ig p_ig q_ig r_ig |
| Fit Inverse Gaussian Process Degradation Models with Frailty | igp_fit |
| Individual Frailty Estimation for Degradation Units | individual_frailty |
| GaAs Laser Degradation Dataset | laser |
| Lifetime Distribution and Quantile Estimation for IGP Degradation Models | lifetime_dist |
| Methods for Inverse Gaussian Process Fit Objects | AIC.igp_fit BIC.igp_fit coef.igp_fit confint.igp_fit logLik.igp_fit plot.igp_fit predict.igp_fit print.igp_fit print.summary_igp_fit summary.igp_fit vcov.igp_fit |
| Simulation of Inverse Gaussian Process Degradation Paths | sim_igp |