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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

Documentation:

Reference manual: ebal.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ebal to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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