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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).
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=gofmalm
to link to this page.
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.
[aut, cre],
Arvind Pandey [aut],
Bhupendra Singh [aut],
Vrijesh Tripathi [aut]