Use optimization to estimate weights that balance covariates for binary, multi-category, continuous, and multivariate 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: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | osqp (≥ 0.6.3.3),chk (≥ 0.10.0),rlang (≥ 1.1.6),Matrix (≥ 1.2-13),ggplot2 (≥ 3.5.0), graphics, stats, utils |
| Suggests: | cobalt (≥ 4.6.0),scs (≥ 3.2.7),clarabel (≥ 0.10.1),highs (≥ 1.10.0-3),lpSolve (≥ 5.6.23),WeightIt,gbm,marginaleffects,sandwich,fwb,knitr,rmarkdown,testthat (≥3.0.0) |
| Published: | 2025-09-09 |
| DOI: | 10.32614/CRAN.package.optweight |
| Author: | Noah Greifer [aut, cre] |
| Maintainer: | Noah Greifer <noah.greifer at gmail.com> |
| BugReports: | https://github.com/ngreifer/optweight/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| URL: | https://ngreifer.github.io/optweight/,https://github.com/ngreifer/optweight |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | CausalInference |
| CRAN checks: | optweight results |