cran-comments.md

In IGPFrailty: Inverse Gaussian Process Degradation Models with Frailty

CRAN Submission Comments

Package: IGPFrailty (Version 0.1.0)

Submission Summary

This is a new package submission implementing Inverse Gaussian Process (IGP) degradation models with Gamma and Inverse Gaussian frailty terms for reliability and lifetime data analysis based on the methodology published in: - Morita, L. H. M., Tomazella, V. L. D., Balakrishnan, N., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). Inverse Gaussian process model with frailty term in reliability analysis. Quality and Reliability Engineering International, 37(2), 763-784. .

Test Environments

• Local machine: Windows 11 x64, R 4.4.2 (2024-10-31 ucrt)
• R CMD check --as-cran: 0 ERRORs | 0 WARNINGs | 0 NOTEs

Spell Check & Domain-Specific Terminology Clarifications

The following technical terms, abbreviations, acronyms, and proper names are intentionally used and correctly spelled in the package documentation and DESCRIPTION: - IGP: Inverse Gaussian Process (standard stochastic process model in degradation analysis). - Frailty: Random effect term capturing unobserved unit-to-unit heterogeneity. - GaAs: Gallium Arsenide semiconductor laser technology used in the benchmark dataset. - logLik, AIC, BIC: Standard S3 statistical generic functions and information criteria. - Morita, Tomazella, Balakrishnan, Ramos, Ferreira, Louzada: Authors of the referenced methodology paper. - Meeker, Escobar: Authors of the classic reliability reference textbook. - Shikhar, Tyagi, Vrijesh, Tripathi: Authors and maintainers of the package. - vcov, confint, uniroot: Standard R functions / methods. - besselK: Modified Bessel function of the second kind.

Notes on DOIs

All references and DOIs have been verified. The primary method DOI is active and resolves directly to the published article in Quality and Reliability Engineering International.

IGPFrailty documentation built on Aug. 25, 2026, 9:08 a.m.