optweight: Targeted Stable Balancing Weights Using Optimization

Use optimization to estimate weights that balance covariates for binary, multinomial, and continuous treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates.

Version:	0.2.5
Depends:	R (≥ 3.4.0)
Imports:	osqp (≥ 0.6.0.2), Matrix (≥ 1.2-13), ggplot2 (≥ 3.0.0)
Suggests:	cobalt (≥ 3.8.0), twang (≥ 1.5)
Published:	2019-09-16
Author:	Noah Greifer [aut, cre]
Maintainer:	Noah Greifer <noah.greifer at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	optweight results

Documentation:

Reference manual:

optweight.pdf

Downloads:

Package source:	optweight_0.2.5.tar.gz
Windows binaries:	r-devel: optweight_0.2.5.zip, r-release: optweight_0.2.5.zip, r-oldrel: optweight_0.2.5.zip
macOS binaries:	r-release (arm64): optweight_0.2.5.tgz, r-oldrel (arm64): optweight_0.2.5.tgz, r-release (x86_64): optweight_0.2.5.tgz, r-oldrel (x86_64): optweight_0.2.5.tgz
Old sources:	optweight archive

Reverse dependencies:

Reverse suggests:

cobalt, WeightIt

Linking:

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