Package: halfmoon 0.2.0.9000

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]

halfmoon_0.2.0.9000.tar.gz
halfmoon_0.2.0.9000.zip(r-4.7)halfmoon_0.2.0.9000.zip(r-4.6)halfmoon_0.2.0.9000.zip(r-4.5)
halfmoon_0.2.0.9000.tgz(r-4.6-any)halfmoon_0.2.0.9000.tgz(r-4.5-any)
halfmoon_0.2.0.9000.tar.gz(r-4.7-any)halfmoon_0.2.0.9000.tar.gz(r-4.6-any)
halfmoon_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
halfmoon/json (API)
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/docs site:https://r-causal.github.io

Datasets:

nhefs_weights - NHEFS with various propensity score weights

On CRAN:

6.15 score 22 stars 91 scripts 682 downloads 50 exports 71 dependencies

Last updated from:9b511fe8a2. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	239
source / vignettes	OK	211
linux-release-x86_64	OK	250
macos-release-arm64	OK	217
macos-oldrel-arm64	OK	176
windows-devel	OK	211
windows-release	OK	188
windows-oldrel	OK	220
wasm-release	OK	138

Exports:add_ess_header bal_corr bal_energy bal_ess bal_ks bal_model_auc bal_model_roc_curve bal_prognostic_score bal_qq bal_smd bal_vr bind_matches check_balance check_ess check_model_auc check_model_calibration check_model_roc_curve check_qq contains ends_with ess everything geom_calibration geom_ecdf geom_love geom_mirror_density geom_mirror_histogram geom_qq2 geom_roc last_col love_plot matches num_range one_of peek_vars plot_balance plot_ess plot_mirror_distributions plot_model_auc plot_model_calibration plot_model_roc_curve plot_qq plot_stratified_residuals starts_with stat_qq2 stat_roc StatQq2 StatRoc tidy_smd weighted_quantile

Dependencies:base64enc bigD bitops bslib cachem cards cardx cli commonmark cpp11 curl digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gt gtable gtsummary highr htmltools htmlwidgets isoband jquerylib jsonlite juicyjuice knitr labeling lifecycle litedown magrittr markdown MASS memoise mime pillar pkgconfig propensity purrr R6 rappdirs RColorBrewer Rcpp reactable reactR rlang rmarkdown S7 sass scales smd stringi stringr tibble tidyr tidyselect tidysmd tinytex utf8 V8 vctrs viridisLite withr xfun xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add ESS Table Header	add_ess_header
Autoplot Methods for halfmoon Objects	autoplot-halfmoon autoplot.halfmoon_auc autoplot.halfmoon_balance autoplot.halfmoon_calibration autoplot.halfmoon_ess autoplot.halfmoon_qq autoplot.halfmoon_roc
Balance Weighted or Unweighted Pearson Correlation	bal_corr
Balance Energy Distance	bal_energy
Calculate Effective Sample Size for Single Weight Vector	bal_ess
Balance Kolmogorov-Smirnov (KS) Statistic for Two Groups	bal_ks
Calculate Single AUC for Model Balance Assessment	bal_model_auc
Calculate Single ROC Curve for Model Balance Assessment	bal_model_roc_curve
Compute Prognostic Scores for Balance Assessment	bal_prognostic_score
Compute QQ Data for Single Variable and Weight	bal_qq
Balance Standardized Mean Difference (SMD)	bal_smd
Balance Variance Ratio for Two Groups	bal_vr
Check Balance Across Multiple Metrics	check_balance
Check Effective Sample Size	check_ess
Check Balance Using Weighted ROC Curves	check_model_auc
Compute calibration data for binary outcomes	check_model_calibration
Check ROC Curves for Multiple Weights	check_model_roc_curve
Check QQ Data for Multiple Weights	check_qq
Calculate the Effective Sample Size (ESS)	ess
Geom for calibration plot with confidence intervals	geom_calibration
Calculate weighted and unweighted empirical cumulative distributions	geom_ecdf
Create mirrored density plots	geom_mirror_density
Create mirrored histograms	geom_mirror_histogram
Create 2-dimensional QQ geometries	geom_qq2
ROC Curve Geom for Causal Inference	geom_roc
NHEFS with various propensity score weights	nhefs_weights
Create balance plot from check_balance output	plot_balance
Plot Effective Sample Size	plot_ess
Create mirror distribution plots	plot_mirror_distributions
Plot ROC AUC Values for Balance Assessment	plot_model_auc
Create calibration plot	plot_model_calibration plot_model_calibration.data.frame plot_model_calibration.glm plot_model_calibration.halfmoon_calibration plot_model_calibration.lm
Plot weighted ROC Curves for Balance Assessment	plot_model_roc_curve
Create QQ plots for weighted and unweighted samples	plot_qq plot_qq.default plot_qq.halfmoon_qq
Create stratified residual diagnostic plots	plot_stratified_residuals plot_stratified_residuals.data.frame plot_stratified_residuals.glm plot_stratified_residuals.lm
Plot Methods for halfmoon Objects	plot-halfmoon plot.halfmoon_auc plot.halfmoon_balance plot.halfmoon_calibration plot.halfmoon_ess plot.halfmoon_qq plot.halfmoon_roc
QQ2 Plot Stat	StatQq2 stat_qq2
ROC Curve Stat	StatRoc stat_roc
Compute weighted quantiles	weighted_quantile