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 |
| Author: | Malcolm Barrett 
[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 |
Documentation:
| Reference manual: | halfmoon.pdf |
Downloads:
| Package source: | halfmoon_0.1.0.tar.gz |
| Windows binaries: | r-prerel: halfmoon_0.1.0.zip, r-release: halfmoon_0.1.0.zip, r-oldrel: halfmoon_0.1.0.zip |
| macOS binaries: | r-prerel (arm64): halfmoon_0.1.0.tgz, r-release (arm64): halfmoon_0.1.0.tgz, r-oldrel (arm64): halfmoon_0.1.0.tgz, r-prerel (x86_64): halfmoon_0.1.0.tgz, r-release (x86_64): halfmoon_0.1.0.tgz |
Linking:
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