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>.

Version: 0.6.3
Imports: stats, plyr, mvnfast, methods
Suggests: optmatch
Published: 2022-06-01
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu125 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
In views: CausalInference
CRAN checks: DiPs results

Documentation:

Reference manual: DiPs.pdf

Downloads:

Package source: DiPs_0.6.3.tar.gz
Windows binaries: r-devel: DiPs_0.6.3.zip, r-release: DiPs_0.6.3.zip, r-oldrel: DiPs_0.6.3.zip
macOS binaries: r-release (arm64): DiPs_0.6.3.tgz, r-oldrel (arm64): DiPs_0.6.3.tgz, r-release (x86_64): DiPs_0.6.3.tgz, r-oldrel (x86_64): DiPs_0.6.3.tgz
Old sources: DiPs archive

Reverse dependencies:

Reverse suggests: DOS2

Linking:

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