Package: ebal
Type: Package
Title: Entropy Reweighting to Create Balanced Samples
Version: 0.3-0
Date: 2026-05-04
Authors@R: c(
    person("Jens", "Hainmueller", email = "jhain@stanford.edu",
           role = c("aut", "cre")),
    person("Apoorva", "Lal", email = "lal.apoorva@gmail.com",
           role = "aut",
           comment = "torch-based autodiff solver (R/ebalance_autodiff.R)"))
Description: Implements entropy balancing, a data preprocessing
        procedure described in Hainmueller (2012,
        <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. Useful
        for creating balanced samples in observational studies with a
        binary treatment where the control group is reweighted to match
        the covariate moments of the treatment group, and for
        reweighting a survey sample to known characteristics from a
        target population.
License: GPL (>= 2)
Imports: graphics, methods, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, torch, ggplot2,
        generics, sandwich, lmtest, survey, withr
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://web.stanford.edu/~jhain/, https://github.com/j-hai/ebal
BugReports: https://github.com/j-hai/ebal/issues
Encoding: UTF-8
Repository: https://j-hai.r-universe.dev
Date/Publication: 2026-05-12 17:55:52 UTC
RemoteUrl: https://github.com/j-hai/ebal
RemoteRef: HEAD
RemoteSha: fc85de575770205c1bb54527b2ac39ade1f2ba53
NeedsCompilation: no
Packaged: 2026-06-11 06:33:55 UTC; root
Author: Jens Hainmueller [aut, cre],
  Apoorva Lal [aut] (torch-based autodiff solver (R/ebalance_autodiff.R))
Maintainer: Jens Hainmueller <jhain@stanford.edu>