Description: 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. This package is currently in alpha phase (feedback is appreciated).
Packaged: 2011-12-27 00:43:16 UTC; jhainmueller

Package: ebal
Type: Package
Title: Entropy reweighting to create balanced samples
Version: 0.1-3
Date: 2013-02-08
Author: Jens Hainmueller
Maintainer: Jens Hainmueller <jhainm@mit.edu>
Description: 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. This package is
currently in alpha phase (feedback is appreciated).
License: GPL (>= 3)
URL: http://www.mit.edu/~jhainm/
Packaged: 2013-02-08 21:26:21 UTC; jhainmueller
Repository: CRAN
Date/Publication: 2013-02-09 07:39:47

Description: 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.
Packaged: 2013-08-12 15:30:36 UTC; jhainmueller