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Gofpt2: Generalized Goodness-of-Fit Test for Progressive Type-II Censored Data

Implements a generalized goodness-of-fit test based on spacings for general progressive Type-II censored data. The test statistic is based on the work of Qin et al. (2022) <doi:10.1080/02664763.2020.1821613> and extends the methodology of Balakrishnan et al. (2003) <doi:10.1007/978-1-4612-0103-8_8>. Users can test data against any distribution by providing custom pdf, cdf, and survival functions. The package supports both normal approximation and Monte Carlo simulation approaches for computing p-values and critical values.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-08-02
DOI: 10.32614/CRAN.package.Gofpt2
Author: Shikhar Tyagi ORCID iD [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: Gofpt2 results

Documentation:

Reference manual: Gofpt2.html , Gofpt2.pdf
Vignettes: Generalized Goodness-of-Fit Test for Censored Data with Gofpt2 (source, R code)

Downloads:

Package source: Gofpt2_0.1.0.tar.gz
Windows binaries: r-devel: Gofpt2_0.1.0.zip, r-release: Gofpt2_0.1.0.zip, r-oldrel: Gofpt2_0.1.0.zip
macOS binaries: r-release (arm64): Gofpt2_0.1.0.tgz, r-oldrel (arm64): Gofpt2_0.1.0.tgz, r-release (x86_64): Gofpt2_0.1.0.tgz, r-oldrel (x86_64): Gofpt2_0.1.0.tgz

Linking:

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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.