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 |