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:	0.6.4
Imports:	stats, plyr, mvnfast, methods, rlemon
Suggests:	optmatch, rrelaxiv
Published:	2022-08-07
Author:	Ruoqi Yu
Maintainer:	Ruoqi Yu <ruoqiyu125 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Additional_repositories:	https://errickson.net/rrelaxiv/
In views:	CausalInference
CRAN checks:	DiPs results

Documentation:

Reference manual:

DiPs.pdf

Downloads:

Package source:	DiPs_0.6.4.tar.gz
Windows binaries:	r-devel: DiPs_0.6.4.zip, r-release: DiPs_0.6.4.zip, r-oldrel: DiPs_0.6.4.zip
macOS binaries:	r-release (arm64): DiPs_0.6.4.tgz, r-oldrel (arm64): DiPs_0.6.4.tgz, r-release (x86_64): DiPs_0.6.4.tgz, r-oldrel (x86_64): DiPs_0.6.4.tgz
Old sources:	DiPs archive

Reverse dependencies:

Reverse suggests:

DOS2

Linking:

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