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CRAN: Package halfmoon

halfmoon: Techniques to Build Better Balance

Build better balance in causal inference models. 'halfmoon' helps you assess propensity score models for balance between groups using metrics like standardized mean differences and visualization techniques like mirrored histograms. 'halfmoon' supports both weighting and matching techniques.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: cli, dplyr, ggplot2, gtsummary (≥ 2.1.0), propensity, purrr, rlang, scales, smd, tibble, tidyr, tidyselect, tidysmd, vctrs
Suggests: cards, cardx (≥ 0.2.3), cobalt, covr, mgcv, survey, testthat (≥ 3.0.0), vdiffr, withr
Published: 2026-03-04
DOI: 10.32614/CRAN.package.halfmoon
Author: Malcolm Barrett ORCID iD [aut, cre, cph]
Maintainer: Malcolm Barrett <malcolmbarrett at gmail.com>
BugReports: https://github.com/r-causal/halfmoon/issues
License: MIT + file LICENSE
URL: https://github.com/r-causal/halfmoon, https://r-causal.github.io/halfmoon/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: halfmoon results

Documentation:

Reference manual: halfmoon.html , halfmoon.pdf

Downloads:

Package source: halfmoon_0.2.0.tar.gz
Windows binaries: r-devel: halfmoon_0.2.0.zip, r-release: halfmoon_0.2.0.zip, r-oldrel: halfmoon_0.2.0.zip
macOS binaries: r-release (arm64): halfmoon_0.2.0.tgz, r-oldrel (arm64): halfmoon_0.2.0.tgz, r-release (x86_64): halfmoon_0.2.0.tgz, r-oldrel (x86_64): halfmoon_0.2.0.tgz
Old sources: halfmoon archive

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