sbw: Stable Balancing Weights for Causal Inference and Missing 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. The solver 'osqp' is also posted on CRAN. To enhance the performance of 'sbw', users are encouraged to install other solvers such as 'gurobi' and 'Rmosek', which require special installation. For the installation of gurobi and pogs, please follow the instructions at <https://www.gurobi.com/documentation/9.1/quickstart_mac/r_ins_the_r_package.html> and <http://foges.github.io/pogs/stp/r>.
| Version: |
1.1.5 |
| Depends: |
R (≥ 3.2), Matrix, quadprog, slam |
| Imports: |
MASS, spatstat.geom |
| Suggests: |
knitr, rmarkdown |
| Enhances: |
gurobi, Rcplex, Rmosek, pogs, osqp |
| Published: |
2021-09-22 |
| Author: |
Jose R. Zubizarreta [aut, cre],
Yige Li [aut],
Kwangho Kim [aut],
Amine Allouah [ctb],
Noah Greifer [ctb] |
| Maintainer: |
Jose R. Zubizarreta <zubizarreta at hcp.med.harvard.edu> |
| License: |
GPL-2 | GPL-3 |
| NeedsCompilation: |
no |
| In views: |
CausalInference |
| CRAN checks: |
sbw results |
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