Package: abwm 0.1.0

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.

Authors:Yijin Zeng [aut, cre]

abwm_0.1.0.tar.gz
abwm_0.1.0.zip(r-4.7)abwm_0.1.0.zip(r-4.6)abwm_0.1.0.zip(r-4.5)
abwm_0.1.0.tgz(r-4.6-any)abwm_0.1.0.tgz(r-4.5-any)
abwm_0.1.0.tar.gz(r-4.7-any)abwm_0.1.0.tar.gz(r-4.6-any)
abwm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
abwm/json (API)
NEWS

# Install 'abwm' in R:
install.packages('abwm', repos = c('https://yijin-zeng.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yijin-zeng/abwm/issues

On CRAN:

Conda:

2.70 score 1 stars 144 downloads 1 exports 0 dependencies

Last updated from:b39812a858. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK146
linux-release-x86_64OK93
macos-release-arm64OK88
macos-oldrel-arm64OK75
windows-develOK80
windows-releaseOK59
windows-oldrelOK94
wasm-releaseOK86

Exports:abwm.test

Dependencies: