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hbal: Hierarchically Regularized Entropy Balancing

Implements hierarchically regularized entropy balancing proposed by Xu and Yang (2022) <doi:10.1017/pan.2022.12>. The method adjusts the covariate distributions of the control group to match those of the treatment group. 'hbal' automatically expands the covariate space to include higher order terms and uses cross-validation to select variable penalties for the balancing conditions.

Version: 1.2.12
Depends: R (≥ 3.6.0)
Imports: Rcpp (≥ 1.0.1), estimatr, glmnet, gtable, gridExtra, ggplot2, stringr, nloptr, generics
LinkingTo: Rcpp, RcppEigen
Suggests: MASS, knitr, rmarkdown, broom, ebal
Published: 2024-01-10
DOI: 10.32614/CRAN.package.hbal
Author: Yiqing Xu ORCID iD [aut, cre], Eddie Yang [aut]
Maintainer: Yiqing Xu <yiqingxu at stanford.edu>
License: MIT + file LICENSE
URL: https://yiqingxu.org/packages/hbal/
NeedsCompilation: yes
CRAN checks: hbal results

Documentation:

Reference manual: hbal.pdf

Downloads:

Package source: hbal_1.2.12.tar.gz
Windows binaries: r-devel: hbal_1.2.12.zip, r-release: hbal_1.2.12.zip, r-oldrel: hbal_1.2.12.zip
macOS binaries: r-release (arm64): hbal_1.2.12.tgz, r-oldrel (arm64): hbal_1.2.12.tgz, r-release (x86_64): hbal_1.2.12.tgz, r-oldrel (x86_64): hbal_1.2.12.tgz
Old sources: hbal archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.