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: 1.2.8
Depends: R (≥ 3.6.0)
Imports: Rcpp (≥ 1.0.1), estimatr, glmnet, gtable, gridExtra, ggplot2, stringr, nloptr
LinkingTo: Rcpp, RcppEigen
Suggests: MASS, knitr, rmarkdown, broom, ebal
Published: 2023-01-24
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


Reference manual: hbal.pdf


Package source: hbal_1.2.8.tar.gz
Windows binaries: r-devel: hbal_1.2.8.zip, r-release: hbal_1.2.8.zip, r-oldrel: hbal_1.2.8.zip
macOS binaries: r-release (arm64): hbal_1.2.8.tgz, r-oldrel (arm64): hbal_1.2.8.tgz, r-release (x86_64): hbal_1.2.8.tgz, r-oldrel (x86_64): hbal_1.2.8.tgz


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