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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>.

Versions across snapshots

VersionRepositoryFileSize
0.6.4 rolling linux/jammy R-4.5 DiPs_0.6.4.tar.gz 121.5 KiB
0.6.4 rolling linux/noble R-4.5 DiPs_0.6.4.tar.gz 121.4 KiB
0.6.4 rolling source/ R- DiPs_0.6.4.tar.gz 57.6 KiB
0.6.4 latest linux/jammy R-4.5 DiPs_0.6.4.tar.gz 121.5 KiB
0.6.4 latest linux/noble R-4.5 DiPs_0.6.4.tar.gz 121.4 KiB
0.6.4 latest source/ R- DiPs_0.6.4.tar.gz 57.6 KiB
0.6.4 2026-04-26 source/ R- DiPs_0.6.4.tar.gz 57.6 KiB
0.6.4 2026-04-23 source/ R- DiPs_0.6.4.tar.gz 57.6 KiB
0.6.4 2026-04-09 windows/windows R-4.5 DiPs_0.6.4.zip 124.0 KiB
0.6.4 2025-04-20 source/ R- DiPs_0.6.4.tar.gz 57.6 KiB

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