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ebal: Entropy Reweighting to Create Balanced Samples
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.
Getting started
Browse package contents
Package details |
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| Author | Jens Hainmueller |
| Maintainer | Jens Hainmueller <jhain@stanford.edu> |
| License | GPL (>= 2) |
| Version | 0.1-8 |
| URL | https://web.stanford.edu/~jhain/ |
| Package repository | View on CRAN |
| Installation |
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