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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 |
| 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 |
| Reference manual: | abwm.html , abwm.pdf |
| Package source: | abwm_0.1.0.tar.gz |
| Windows binaries: | r-devel: abwm_0.1.0.zip, r-release: abwm_0.1.0.zip, r-oldrel: abwm_0.1.0.zip |
| 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 |
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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.