abwm: Ansari-Bradley Test with Arbitrarily Missing Data

Performs the two-sample Ansari–Bradley test (Ansari & Bradley, 1960 <https://www.jstor.org/stable/2237814>) for univariate, distinct data in the presence of missing values, as described in Zeng et al. (2025) <doi:10.48550/arXiv.2509.20332>. This method does not make any assumptions about the missingness mechanisms and controls the Type I error regardless of the missing values by taking all possible missing values into account.

Version:	0.1.0
Imports:	stats
Suggests:	gtools, testthat (≥ 3.0.0)
Published:	2025-11-04
DOI:	10.32614/CRAN.package.abwm (may not be active yet)
Author:	Yijin Zeng [aut, cre]
Maintainer:	Yijin Zeng <yijinzeng98 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	abwm results

Documentation:

Reference manual:

abwm.html , abwm.pdf

Downloads:

Package source:	abwm_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): abwm_0.1.0.tgz, r-oldrel (arm64): abwm_0.1.0.tgz, r-release (x86_64): abwm_0.1.0.tgz, r-oldrel (x86_64): abwm_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=abwm to link to this page.