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 (≥, Matrix (≥ 1.2-13), ggplot2 (≥ 3.0.0)
Suggests: cobalt (≥ 3.8.0), twang (≥ 1.5)
Published: 2019-09-16
DOI: 10.32614/CRAN.package.optweight
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
In views: CausalInference
CRAN checks: optweight results


Reference manual: optweight.pdf


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, jointVIP, WeightIt


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