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>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: sbw results


Reference manual: sbw.pdf
Package source: sbw_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sbw_1.1.1.tgz, r-oldrel: sbw_1.1.1.tgz
Old sources: sbw archive

Reverse dependencies:

Reverse suggests: cobalt


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