DESCRIPTION

Package: ebal
Type: Package
Title: Entropy Reweighting to Create Balanced Samples
Version: 0.1-8
Date: 2022-06-08
Author: Jens Hainmueller
Maintainer: Jens Hainmueller <jhain@stanford.edu>
Description: 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.
License: GPL (>= 2)
Depends: methods
URL: https://web.stanford.edu/~jhain/
NeedsCompilation: no
Packaged: 2022-06-09 00:06:48 UTC; jhainmueller
Repository: CRAN
Date/Publication: 2022-06-09 08:10:24 UTC