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ebal
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]
[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 03 Nov. 2026.
Previous versions and publish date:
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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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