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: 0.1.0
Depends: R (≥ 2.10)
Imports: cli, ggplot2, tidyselect, tidysmd (≥ 0.2.0)
Suggests: covr, testthat (≥ 3.0.0), vdiffr
Published: 2023-05-30
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
CRAN checks: halfmoon results


Reference manual: halfmoon.pdf


Package source: halfmoon_0.1.0.tar.gz
Windows binaries: r-devel: halfmoon_0.1.0.zip, r-release: halfmoon_0.1.0.zip, r-oldrel: halfmoon_0.1.0.zip
macOS binaries: r-release (arm64): halfmoon_0.1.0.tgz, r-oldrel (arm64): halfmoon_0.1.0.tgz, r-release (x86_64): halfmoon_0.1.0.tgz, r-oldrel (x86_64): halfmoon_0.1.0.tgz


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