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ebal

Entropy Reweighting to Create Balanced Samples

Installation

About

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.

web.stanford.edu/~jhain/

Key Metrics

Version 0.1-8
Published 2022-06-09 692 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks ebal results

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Maintainer

Maintainer

Jens Hainmueller

jhain@stanford.edu

Authors

Jens Hainmueller

Material

Reference manual
Package source

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Old Sources

ebal archive

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methods

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