Package: forestBalance
Title: Balancing Confounder Distributions with Forest Energy Balancing
Version: 0.1.1
Authors@R: c(
    person("Jared", "Huling", role = c("aut", "cre"), email = "jaredhuling@gmail.com"),
    person("Simion", "De", role = "aut")
    )
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>.
License: GPL (>= 3)
URL: https://github.com/jaredhuling/forestBalance
BugReports: https://github.com/jaredhuling/forestBalance/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppEigen
Imports: grf (>= 2.3.0), MASS, Matrix, methods, Rcpp
Suggests: ggplot2, knitr, osqp, rmarkdown, testthat (>= 3.0.0),
        WeightIt
VignetteBuilder: knitr
Config/pak/sysreqs: make
Repository: https://jaredhuling.r-universe.dev
Date/Publication: 2026-04-07 16:57:12 UTC
RemoteUrl: https://github.com/jaredhuling/forestbalance
RemoteRef: HEAD
RemoteSha: 057d235b842a8f1ec45866af618b3bddb085141e
NeedsCompilation: yes
Packaged: 2026-06-07 09:04:10 UTC; root
Author: Jared Huling [aut, cre],
  Simion De [aut]
Maintainer: Jared Huling <jaredhuling@gmail.com>