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, R., and Rosenbaum, P. R. (2019). <doi:10.1111/biom.13098>.
Version: |
0.6.1 |
Imports: |
stats, liqueueR, plyr, mvnfast, methods |
Suggests: |
optmatch |
Published: |
2020-04-11 |
Author: |
Ruoqi Yu |
Maintainer: |
Ruoqi Yu <ruoqiyu at wharton.upenn.edu> |
License: |
file LICENSE |
NeedsCompilation: |
no |
CRAN checks: |
DiPs results |
Downloads:
Reverse dependencies:
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