Package: halfmoon 0.1.0.9000

Malcolm Barrett

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.

Authors:Malcolm Barrett [aut, cre, cph]

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halfmoon.pdf |halfmoon.html✨
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NEWS

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

Bug tracker:https://github.com/r-causal/halfmoon/issues

Pkgdown site:https://r-causal.github.io

Datasets:

On CRAN:

5.24 score 16 stars 72 scripts 241 downloads 17 exports 38 dependencies

Last updated 17 days agofrom:634a0d6a43. Checks:1 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-winERRORFeb 03 2025
R-4.5-macERRORFeb 03 2025
R-4.5-linuxERRORFeb 03 2025
R-4.4-winERRORFeb 03 2025
R-4.4-macERRORFeb 03 2025
R-4.3-winERRORFeb 03 2025
R-4.3-macERRORFeb 03 2025

Exports:add_ess_headerbind_matchescontainsends_withesseverythinggeom_ecdfgeom_lovegeom_mirror_histogramlast_collove_plotmatchesnum_rangeone_ofpeek_varsstarts_withtidy_smd

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalessmdstringistringrtibbletidyrtidyselecttidysmdutf8vctrsviridisLitewithr