Estimate balancing weights via WeightIt — morie_causal

Thin wrapper around WeightIt::weightit() exposing the full WeightIt method palette ("glm", "cbps", "ebal", "ps", "energy", "optweight", and any future additions). Provides MORIE callers with a stable morie_* entry point for balancing weights while preserving the underlying object so callers can pipe into survey::svyglm or cobalt::bal.tab downstream.

Usage

morie_causal_weighting(
  data,
  treatment,
  covariates,
  method = "glm",
  estimand = c("ATE", "ATT", "ATC"),
  ...
)

Arguments

data: A data frame.
treatment: Name of the treatment column (binary, multinomial, or continuous depending on method).
covariates: Character vector of covariate names.
method: One of "glm", "cbps", "ebal", "ps", "energy", "optweight", or any other method accepted by WeightIt::weightit().
estimand: One of "ATE", "ATT", "ATC"; defaults to "ATE".
...: Additional arguments forwarded to WeightIt::weightit().

Value

Named list with elements weights (numeric vector), propensity_scores (numeric vector or NULL), method, estimand, ess (effective sample size), and weightit (the original WeightIt object).

Details

Hard-errors if WeightIt is not installed – the multi-method weighting machinery has no compact inline equivalent.

References

Greifer N (2024). WeightIt: Weighting for Covariate Balance in Observational Studies. R package version 1.4.0.