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:

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