PBGoF: Parametric Bootstrap Tests for the Skew-Normal Distribution

Provides goodness-of-fit tests for the skew-normal distribution with estimated parameters. Implements Kolmogorov-Smirnov and Cramér-von Mises tests using parametric bootstrap or precomputed simulation quantiles, together with robust parameter estimation procedures. Package methods and documentation are described by Li and Khang (2026) <https://github.com/Divo-Lee/PBGoF>.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: methods, sn
Suggests: knitr, rmarkdown
Published: 2026-10-02
DOI: 10.32614/CRAN.package.PBGoF (may not be active yet)
Author: Hongxiang Li [aut, cre], Tsung Fei Khang [aut]
Maintainer: Hongxiang Li <hxli at ynnu.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: PBGoF citation info
Materials: README
CRAN checks: PBGoF results

Documentation:

Reference manual: PBGoF.html , PBGoF.pdf
Vignettes: Introduction to PBGoF (source)

Downloads:

Package source: PBGoF_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: PBGoF_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): PBGoF_0.1.0.tgz, r-oldrel (x86_64): PBGoF_0.1.0.tgz

Linking:

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