ebal: Entropy Reweighting to Create Balanced Samples

Package implements entropy balancing, a data preprocessing procedure described in Hainmueller (2008, <doi:10.1093/pan/mpr025>) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.

Version: 0.1-8
Depends: methods
Published: 2022-06-09
DOI: 10.32614/CRAN.package.ebal
Author: Jens Hainmueller
Maintainer: Jens Hainmueller <jhain at stanford.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://web.stanford.edu/~jhain/
NeedsCompilation: no
In views: CausalInference
CRAN checks: ebal results


Reference manual: ebal.pdf


Package source: ebal_0.1-8.tar.gz
Windows binaries: r-devel: ebal_0.1-8.zip, r-release: ebal_0.1-8.zip, r-oldrel: ebal_0.1-8.zip
macOS binaries: r-release (arm64): ebal_0.1-8.tgz, r-oldrel (arm64): ebal_0.1-8.tgz, r-release (x86_64): ebal_0.1-8.tgz, r-oldrel (x86_64): ebal_0.1-8.tgz
Old sources: ebal archive

Reverse dependencies:

Reverse imports: jointCalib
Reverse suggests: cobalt, hbal, missDiag, rbw


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