Use optimization to estimate weights that balance covariates for binary, multinomial, continuous, and longitudinal 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: | 0.2.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | rosqp (≥ 0.1.0), Matrix (≥ 1.2-13), ggplot2 (≥ 3.0.0) |
| Suggests: | cobalt (≥ 3.4.1), twang (≥ 1.5) |
| Published: | 2018-10-17 |
| 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 |
| Reference manual: | optweight.pdf |
| Package source: | optweight_0.2.0.tar.gz |
| Windows binaries: | r-devel: optweight_0.1.0.zip, r-release: optweight_0.1.0.zip, r-oldrel: optweight_0.1.0.zip |
| OS X binaries: | r-release: optweight_0.2.0.tgz, r-oldrel: optweight_0.2.0.tgz |
| Old sources: | optweight archive |
Please use the canonical form https://CRAN.R-project.org/package=optweight to link to this page.