optweight
Optimization-Based Stable Balancing Weights
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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.1 |
rolling linux/jammy R-4.5 | optweight_2.0.1.tar.gz |
562.3 KiB |
2.0.1 |
rolling linux/noble R-4.5 | optweight_2.0.1.tar.gz |
562.2 KiB |
2.0.1 |
rolling source/ R- | optweight_2.0.1.tar.gz |
584.3 KiB |
2.0.1 |
latest linux/jammy R-4.5 | optweight_2.0.1.tar.gz |
562.3 KiB |
2.0.1 |
latest linux/noble R-4.5 | optweight_2.0.1.tar.gz |
562.2 KiB |
2.0.1 |
latest source/ R- | optweight_2.0.1.tar.gz |
584.3 KiB |
2.0.1 |
2026-04-26 source/ R- | optweight_2.0.1.tar.gz |
584.3 KiB |
2.0.1 |
2026-04-23 source/ R- | optweight_2.0.1.tar.gz |
584.3 KiB |
2.0.1 |
2026-04-09 windows/windows R-4.5 | optweight_2.0.1.zip |
561.7 KiB |
0.2.5 |
2025-04-20 source/ R- | optweight_0.2.5.tar.gz |
74.2 KiB |