ebal: Entropy reweighting to create balanced samples
Version 0.1-6

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.

Browse man pages Browse package API and functions Browse package files

AuthorJens Hainmueller
Date of publication2014-01-27 15:38:48
MaintainerJens Hainmueller <jhain@stanford.edu>
LicenseGPL (>= 2)
Version0.1-6
URL http://www.stanford.edu/~jhain/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ebal")

Man pages

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

Functions

baltest.collect Man page Source code
eb Man page Source code
ebalance Man page Source code
ebalance.trim Man page Source code
getsquares Man page Source code
line.searcher Man page Source code
matrixmaker Man page Source code
onAttach Source code

Files

NAMESPACE
GPL-2
R
R/ebalance.R
R/getsquares.R
R/eb.R
R/baltest.collect.R
R/ebalance.trim.r
R/zzz.r
R/line.searcher.r
R/matrixmaker.R
MD5
DESCRIPTION
LICENSE.note
man
man/baltest.collect.Rd
man/ebalance.Rd
man/line.searcher.Rd
man/getsquares.Rd
man/ebalance.trim.Rd
man/matrixmaker.Rd
man/eb.Rd
GPL-3
ebal documentation built on May 19, 2017, 11:15 a.m.