Installation
About
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.
web.stanford.edu/~jhain/ |
Key Metrics
Downloads
Yesterday | 88 0% |
Last 7 days | 354 -10% |
Last 30 days | 1.467 -10% |
Last 90 days | 4.827 -63% |
Last 365 days | 47.934 +155% |