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DiPs: Directional Penalties for Optimal Matching in Observational Studies
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>.
Getting started
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Package details |
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| Author | Ruoqi Yu |
| Maintainer | Ruoqi Yu <ruoqiyu125@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.6.4 |
| Package repository | View on CRAN |
| Installation |
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