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.
|Date of publication||2014-01-27 15:38:48|
|Maintainer||Jens Hainmueller <firstname.lastname@example.org>|
|License||GPL (>= 2)|
baltest.collect: Collect Covariate Balance Statistics
eb: Function for Entropy Balancing
ebalance: Entropy balancing
ebalance.trim: Trimming of Weights for Entropy Balancing
getsquares: Generate Matrix of Squared Terms
line.searcher: Optimal step length search for entropy balancing algorithm
matrixmaker: Generate Matrix of One-way Interactions and Squared Terms
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