Package: hvtiRpropensity 0.2.1

Overview | Sample data | Outcome-model bundles | Propensity score estimation | Binary treatment: ps_logistic() | Multiply-imputed data | Random-forest score: ps_forest() | Ordinal treatment: ps_ordinal() | Nominal treatment: ps_nominal() | Balancing scores for continuous and count exposures | Continuous exposure: bs_continuous() | Count exposure: bs_count() | Propensity score matching | Build the matched object | Diagnostics | Extract the matched dataset | Caliper matching | Matching on the logit with a caliper in SD units | Inverse-probability-of-treatment weighting | ATE weights (default) | ATT and ATC weights | Weight trimming (winsorisation) | Balance statistics and effect estimates | Standardized differences: ps_stddiff() | A permutation reference: ps_stddiff_perm() | Matching-weight difference in means: ps_mw_var() | Restricted mean survival: ps_rmst() | Sensitivity analysis | Overlap and positivity: sa_overlap() | Comparing support rules: ps_support() | Weight-trimming sensitivity sweep: sa_trim_sweep() | E-values: sa_evalue() | Rosenbaum sensitivity bounds: sa_rosenbaum() | Downstream use with hvtiPlotR | Mirror histogram | Covariate balance plot | Session info