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UniCensor: Reproducible Random Samples Under Univariate Censoring Schemes

Generates reproducible random samples from any user-specified univariate distribution under a comprehensive suite of censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, support bounds, and parameters; the same seed and inputs yield identical samples across sessions. Supported schemes include right and left truncation, random, right, left, interval, and middle censoring, block random censoring, balanced joint progressive Type-II (BJPT-II), progressive first failure, joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I hybrid, and hybrid Type-II censoring. Diagnostic histogram, dot plot, and autocorrelation plots are provided for each scheme to verify distributional behaviour. Methods are described in Nagar, Kumar, and Krishna (2026) <doi:10.59467/IJASS.2026.22.1>, Goel, Kumar, and Krishna (2026, "Estimation in power Lindley distributions using balanced joint progressively Type-II censored data"), Wu and Kus (2009) <doi:10.1016/j.csda.2009.03.010>, Goel and Krishna (2026) <doi:10.1007/s13198-026-03208-w>, Balakrishnan and Aggarwala (2000, ISBN:978-1-4612-1334-5), Mondal and Kundu (2020) <doi:10.1080/03610926.2018.1554128>, Ding and Gui (2023) <doi:10.3390/math11092003>, Prajapati, Mitra, and Kundu (2019) <doi:10.1007/s13571-018-0167-0>, Yadav, Jaiswal, and Yadav (2026) <doi:10.1007/s11135-026-02647-8>, Iyer, Jammalamadaka, and Kundu (2008) <doi:10.1016/j.jspi.2007.03.062>, Banerjee and Kundu (2008) <doi:10.1109/TR.2008.916890>, and Kundu and Joarder (2006) <doi:10.1016/j.csda.2005.05.002>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: graphics, stats
Suggests: testthat (≥ 3.0.0)
Published: 2026-07-17
DOI: 10.32614/CRAN.package.UniCensor
Author: Shikhar Tyagi ORCID iD [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: UniCensor results

Documentation:

Reference manual: UniCensor.html , UniCensor.pdf

Downloads:

Package source: UniCensor_0.1.0.tar.gz
Windows binaries: r-devel: UniCensor_0.1.0.zip, r-release: UniCensor_0.1.0.zip, r-oldrel: UniCensor_0.1.0.zip
macOS binaries: r-release (arm64): UniCensor_0.1.0.tgz, r-oldrel (arm64): UniCensor_0.1.0.tgz, r-release (x86_64): UniCensor_0.1.0.tgz, r-oldrel (x86_64): UniCensor_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=UniCensor 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.
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