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✨
halfmoon/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

4.71 score 15 stars 68 scripts 272 downloads 15 exports 38 dependencies

Last updated 1 years agofrom:c093f224c3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-winOKOct 23 2024
R-4.5-linuxOKOct 23 2024
R-4.4-winOKOct 23 2024
R-4.4-macOKOct 23 2024
R-4.3-winOKOct 23 2024
R-4.3-macOKOct 23 2024

Exports:bind_matchescontainsends_witheverythinggeom_ecdfgeom_lovegeom_mirror_histogramlast_collove_plotmatchesnum_rangeone_ofpeek_varsstarts_withtidy_smd

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalessmdstringistringrtibbletidyrtidyselecttidysmdutf8vctrsviridisLitewithr