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forestBalance  

Balancing Confounder Distributions with Forest Energy Balancing
View on CRAN: Click here


Download and install forestBalance package within the R console
Install from CRAN:
install.packages("forestBalance")

Install from Github:
library("remotes")
install_github("cran/forestBalance")

Install by package version:
library("remotes")
install_version("forestBalance", "0.1.0")



Attach the package and use:
library("forestBalance")
Maintained by
Jared Huling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-07
Latest Update: 2026-04-07
Description:
Estimates average treatment effects using kernel energy balancing with random forest similarity kernels. A multivariate random forest jointly models covariates, outcome, and treatment to build a similarity kernel between observations. This kernel is then used for energy balancing to create weights that control for confounding. The method is described in De and Huling (2025) <doi:10.48550/arXiv.2512.18069>.
How to cite:
Jared Huling (2026). forestBalance: Balancing Confounder Distributions with Forest Energy Balancing. R package version 0.1.0, https://cran.r-project.org/web/packages/forestBalance. Accessed 07 Jun. 2026.
Previous versions and publish date:
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