ebal: Entropy reweighting to create balanced samples
Version 0.1-6

Package implements entropy balancing, a data preprocessing procedure 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.

Getting started

Package details

AuthorJens Hainmueller
Date of publication2014-01-27 15:38:48
MaintainerJens Hainmueller <jhain@stanford.edu>
LicenseGPL (>= 2)
URL http://www.stanford.edu/~jhain/
Package repositoryView on CRAN
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ebal documentation built on May 29, 2017, 1:56 p.m.