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.

Author | Jens Hainmueller |

Date of publication | 2014-01-27 15:38:48 |

Maintainer | Jens Hainmueller <jhain@stanford.edu> |

License | GPL (>= 2) |

Version | 0.1-6 |

http://www.stanford.edu/~jhain/ |

**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

ebal

ebal/NAMESPACE

ebal/GPL-2

ebal/R

ebal/R/ebalance.R
ebal/R/getsquares.R
ebal/R/eb.R
ebal/R/baltest.collect.R
ebal/R/ebalance.trim.r

ebal/R/zzz.r

ebal/R/line.searcher.r

ebal/R/matrixmaker.R
ebal/MD5

ebal/DESCRIPTION

ebal/LICENSE.note

ebal/man

ebal/man/baltest.collect.Rd
ebal/man/ebalance.Rd
ebal/man/line.searcher.Rd
ebal/man/getsquares.Rd
ebal/man/ebalance.trim.Rd
ebal/man/matrixmaker.Rd
ebal/man/eb.Rd
ebal/GPL-3

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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