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hbal (version 1.2.8)

Hierarchically Regularized Entropy Balancing

Description

Implements hierarchically regularized entropy balancing proposed by Xu and Yang (2022) . 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.

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Version

Install

install.packages('hbal')

Monthly Downloads

267

Version

1.2.8

License

MIT + file LICENSE

Maintainer

Yiqing Xu

Last Published

January 24th, 2023

Functions in hbal (1.2.8)

plot.hbal

Plotting Covariate Balance from an hbal Object
updateCoef

Update lambda
summary.hbal

Summarizing from an hbal Object
covarExclude

Match Column Names to be Excluded
doubleSelection

Double Selection
covarExpand

Serial Expansion of Covariates
crossValidate

Ridge Penalty Selection through Cross Validation
.onAttach

Subsidiary hbal Function
hbal

Hierarchically Regularized Entropy Balancing
lalonde

Data from Hazlett (2020)
hbal-data

Data from Black and Owens (2016) and Hazlett (2020)
att

Estimating the ATT from an hbal object
contenderJudges

Data from Black and Owens (2016)