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 
[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 |