Package index • halfmoon

All functions

add_ess_header(): Add ESS Table Header

autoplot(<halfmoon_balance>) autoplot(<halfmoon_ess>) autoplot(<halfmoon_calibration>) autoplot(<halfmoon_roc>) autoplot(<halfmoon_auc>) autoplot(<halfmoon_qq>): Autoplot Methods for halfmoon Objects

bal_corr(): Balance Weighted or Unweighted Pearson Correlation

bal_energy(): Balance Energy Distance

bal_ess(): Calculate Effective Sample Size for Single Weight Vector

bal_ks(): Balance Kolmogorov-Smirnov (KS) Statistic for Two Groups

bal_model_auc(): Calculate Single AUC for Model Balance Assessment

bal_model_roc_curve(): Calculate Single ROC Curve for Model Balance Assessment

bal_prognostic_score(): Compute Prognostic Scores for Balance Assessment

bal_qq(): Compute QQ Data for Single Variable and Weight

bal_smd(): Balance Standardized Mean Difference (SMD)

bal_vr(): Balance Variance Ratio for Two Groups

check_balance(): Check Balance Across Multiple Metrics

check_ess(): Check Effective Sample Size

check_model_auc(): Check Balance Using Weighted ROC Curves

check_model_calibration(): Compute calibration data for binary outcomes

check_model_roc_curve(): Check ROC Curves for Multiple Weights

check_qq(): Check QQ Data for Multiple Weights

ess(): Calculate the Effective Sample Size (ESS)

geom_calibration(): Geom for calibration plot with confidence intervals

geom_ecdf(): Calculate weighted and unweighted empirical cumulative distributions

geom_mirror_density(): Create mirrored density plots

geom_mirror_histogram(): Create mirrored histograms

geom_qq2(): Create 2-dimensional QQ geometries

geom_roc(): ROC Curve Geom for Causal Inference

nhefs_weights: NHEFS with various propensity score weights

plot(<halfmoon_balance>) plot(<halfmoon_ess>) plot(<halfmoon_calibration>) plot(<halfmoon_roc>) plot(<halfmoon_auc>) plot(<halfmoon_qq>): Plot Methods for halfmoon Objects

plot_balance(): Create balance plot from check_balance output

plot_ess(): Plot Effective Sample Size

plot_mirror_distributions(): Create mirror distribution plots

plot_model_auc(): Plot ROC AUC Values for Balance Assessment

plot_model_calibration(): Create calibration plot

plot_model_roc_curve(): Plot weighted ROC Curves for Balance Assessment

plot_qq(): Create QQ plots for weighted and unweighted samples

plot_stratified_residuals(): Create stratified residual diagnostic plots

stat_qq2(): QQ2 Plot Stat

stat_roc(): ROC Curve Stat

weighted_quantile(): Compute weighted quantiles