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ebal  

Entropy Reweighting to Create Balanced Samples
View on CRAN: Click here


Download and install ebal package within the R console
Install from CRAN:
install.packages("ebal")

Install from Github:
library("remotes")
install_github("cran/ebal")

Install by package version:
library("remotes")
install_version("ebal", "0.2.1")



Attach the package and use:
library("ebal")
Maintained by
Jens Hainmueller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-07-27
Latest Update: 2022-06-09
Description:
Package implements entropy balancing, a data preprocessing procedure described in Hainmueller (2008, ) 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.
How to cite:
Jens Hainmueller (2011). ebal: Entropy Reweighting to Create Balanced Samples. R package version 0.2.1, https://cran.r-project.org/web/packages/ebal. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1-1 (2011-07-27 11:21), 0.1-2 (2011-12-27 11:06), 0.1-3 (2013-02-09 07:39), 0.1-4 (2013-08-12 17:35), 0.1-5 (2013-10-16 16:35), 0.1-6 (2014-01-27 15:38), 0.1-8 (2022-06-09 10:10)
Other packages that cited ebal R package
View ebal citation profile
Other R packages that ebal depends, imports, suggests or enhances
Complete documentation for ebal
Functions, R codes and Examples using the ebal R package
Some associated functions: baltest.collect . eb . ebalance . ebalance.trim . getsquares . line.searcher . matrixmaker . 
Some associated R codes: baltest.collect.R . eb.R . ebalance.R . getsquares.R . matrixmaker.R .  Full ebal package functions and examples
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