gofPHCS
0.1.0Goodness-of-Fit Tests for Complete, Progressively Type-II, Type-I Hybrid, and Type-II Hybrid Censored Data
Overview
Provides goodness-of-fit tests for lifetime data collected under complete sampling, progressive Type-II censoring, and Type-I/Type-II hybrid censoring schemes. Users supply the observed (censored) data and the assumed probability density/mass function, cumulative distribution function, or survival function of the target model, and the package returns the corresponding test statistic together with an asymptotic or Monte Carlo p-value. Implements the spacings-based exponentiality test of Balakrishnan, Ng and Kannan (2002, in "Goodness-of-Fit Tests and Model Validity", Birkhauser, pp. 89-111) and its location-scale generalization Balakrishnan, Ng and Kannan (2004) doi:10.1109/TR.2004.833317, the power comparison and Kaplan-Meier based tests of Doering and Cramer (2019) doi:10.1080/00949655.2019.1648468, the Kolmogorov-Smirnov type tests for hybrid censored data of Banerjee and Pradhan (2018) doi:10.1080/03610926.2016.1205616, and follows the unified treatment of hybrid censoring schemes reviewed in Balakrishnan and Kundu (2013) doi:10.1016/j.csda.2012.03.025 and in Cramer and Balakrishnan (2023, "Hybrid Censoring Know-How", Chapter 11) doi:10.1016/B978-0-12-398387-9.00019-2.
Install
Health
- OK2026-08-057 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 90%
- Return-value docs
- 100%
- References docs
- 71%
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-08-04 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-04
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 0.4 KB / 2 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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