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


Reference manual: DiPs.pdf
Package source: DiPs_0.6.1.tar.gz
Windows binaries: r-devel: DiPs_0.6.1.zip, r-release: DiPs_0.6.1.zip, r-oldrel: DiPs_0.6.1.zip
macOS binaries: r-release: DiPs_0.6.1.tgz, r-oldrel: DiPs_0.6.1.tgz
Old sources: DiPs archive

Reverse dependencies:

Reverse imports: met, thickmatch
Reverse suggests: DOS2, evident


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