gofmalm: Goodness-of-Fit Tests for Type-II Censored Samples via the Malmquist Transformation

Goodness-of-fit tests for an arbitrary user-specified continuous distribution under Type-II right- or left-censoring. Implements the transformation-based method of Lin, Huang and Balakrishnan (2008) <doi:10.1109/TR.2008.2005860>, which uses a property of order statistics due to Malmquist (1950) to convert an r-out-of-n Type-II censored uniform sample into a complete sample of size r, alongside the earlier transformation of Michael and Schucany (1979) <doi:10.1080/00401706.1979.10489813>. Also implements the direct (untransformed) censored-sample statistics of Barr and Davidson (1973) <doi:10.1080/00401706.1973.10489108> and Pettitt and Stephens (1976) <doi:10.1093/biomet/63.2.291>, and the modified-statistic maximum-likelihood procedure of Chen and Balakrishnan (1995) for testing composite hypotheses. General background on empirical-distribution-function goodness-of-fit methods follows D'Agostino and Stephens (1986, ISBN:982-0-8247-7487-5).

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	stats, graphics
Suggests:	testthat (≥ 3.0.0)
Published:	2026-07-30
DOI:	10.32614/CRAN.package.gofmalm
Author:	Shikhar Tyagi [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer:	Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Citation:	gofmalm citation info
Materials:	README
CRAN checks:	gofmalm results

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