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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
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

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, jointVIP, WeightIt

Linking:

Please use the canonical form https://CRAN.R-project.org/package=optweight to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.