Comprehensive matching-quality assessment — morie_matching

Compares balance before and after matching and reports percent bias reduction, count of balanced covariates, and overlap statistics.

Usage

morie_matching_quality(
  unmatched_data,
  matched_data,
  treatment,
  covariates,
  weights = NULL
)

Arguments

unmatched_data, matched_data: Data frames.
treatment: Binary treatment column.
covariates: Character vector of covariates.
weights: Optional column of matching weights in matched_data.

Value

A list with balance_before, balance_after, bias_reduction, mean_bias_reduction, pct_balanced_before, pct_balanced_after, n_obs_before, n_obs_after.

Examples

if (FALSE) { # \dontrun{
morie_matching_quality(df, res$matched_data, "d", c("x1", "x2"))
} # }