forestBalance/DESCRIPTION at main · jaredhuling/forestBalance · GitHub

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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