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. 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: 1.1.3
Depends: R (≥ 3.2), Matrix, quadprog, slam
Imports: MASS, spatstat.geom
Suggests: knitr, rmarkdown
Enhances: gurobi, Rcplex, Rmosek, pogs
Published: 2021-06-18
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

Downloads:

Reference manual: sbw.pdf
Package source: sbw_1.1.3.tar.gz
Windows binaries: r-devel: sbw_1.1.3.zip, r-release: sbw_1.1.3.zip, r-oldrel: sbw_1.1.3.zip
macOS binaries: r-release (arm64): sbw_1.1.3.tgz, r-release (x86_64): sbw_1.1.3.tgz, r-oldrel: sbw_1.1.3.tgz
Old sources: sbw archive

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