gofPHCS: Goodness-of-Fit Tests for Complete, Progressively Type-II,
Type-I Hybrid, and Type-II Hybrid Censored Data
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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, withr |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, spelling, covr |
| Published: |
2026-08-04 |
| DOI: |
10.32614/CRAN.package.gofPHCS (may not be active yet) |
| Author: |
Shikhar Tyagi 
[aut, cre],
Arvind Pandey [aut],
Bhupendra Singh [aut],
Vrijesh Tripathi [aut] |
| Maintainer: |
Shikhar Tyagi <shikhar1093tyagi at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
gofPHCS results |
Documentation:
Downloads:
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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.