Optimization-Based Stable Balancing Weights R package optweight version 2.0.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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, as in matching-adjusted indirect comparison (MAIC). Software Depends: R (>= 4.1.0) Imports: osqp (>= 0.6.3.3), chk (>= 0.10.0), rlang (>= 1.1.6), cli (>= 3.6.5), Matrix (>= 1.2-13), collapse (>= 2.1.5), ggplot2 (>= 4.0.0), 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) Noah Greifer <noah.greifer@gmail.com> Comprehensive R Archive Network (CRAN) Noah Greifer [aut, cre] (ORCID: <https://orcid.org/0000-0003-3067-7154>) GPL 2026-03-19 application/tgz https://CRAN.R-project.org/package=optweight doi:10.32614/CRAN.package.optweight