DiPs: Directional Penalties for Optimal Matching in Observational
Improves the balance of optimal matching with near-fine balance by giving penalties on the unbalanced covariates with the unbalanced directions. Many directional penalties can also be viewed as Lagrange multipliers, pushing a matched sample in the direction of satisfying a linear constraint that would not be satisfied without penalization.
Yu and Rosenbaum (2019) <doi:10.1111/biom.13098>.
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