sbw: Stable Balancing Weights for Causal Inference and Estimation
with Incomplete Outcome Data
Implements the Stable Balancing Weights by Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. These are the weights of minimum variance that approximately balance the empirical distribution of the observed covariates. For an overview, see Chattopadhyay, Hase and Zubizarreta (2020) <doi:10.1002/(ISSN)1097-0258>. To solve the optimization problem in 'sbw', the default solver is 'quadprog', which is readily available through CRAN. To enhance the performance of 'sbw', users are encouraged to install other solvers such as 'gurobi' and 'Rmosek', which require special installation.
| Version: |
1.1.1 |
| Depends: |
R (≥ 3.2), Matrix, quadprog, slam |
| Imports: |
MASS, spatstat |
| Suggests: |
knitr, rmarkdown |
| Enhances: |
gurobi, Rcplex, Rmosek, pogs |
| Published: |
2020-06-23 |
| Author: |
Jose R. Zubizarreta [aut, cre],
Yige Li [aut],
Amine Allouah [ctb],
Noah Greifer [ctb] |
| Maintainer: |
Jose R. Zubizarreta <zubizarreta at hcp.med.harvard.edu> |
| License: |
GPL-2 | GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
sbw results |
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Reverse dependencies:
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