Package: kbal
Type: Package
Title: Kernel Balancing
Version: 0.1.4
Date: 2026-02-23
Authors@R: c(person("Chad", "Hazlett", email = "chazlett@ucla.edu", role = c("aut", "cph")),
            person("Ciara", "Sterbenz", email = "cster@g.ucla.edu", role = "aut"),
            person("Erin", "Hartman", email = "ekhartman@ucla.edu", role = "ctb"),
            person("Alex", "Kravetz", email = "alexdkravetz@gmail.com", role = "ctb"),
            person("Borna", "Bateni", email = "borna@ucla.edu", role = c("aut", "cre")))
Description: Provides a weighting approach that employs kernels to make one group have a similar distribution to another group on covariates. This method matches not only means or marginal distributions but also higher-order transformations implied by the choice of kernel. 'kbal' is applicable to both treatment effect estimation and survey reweighting problems. Based on Hazlett, C. (2020) "Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects." Statistica Sinica. <https://www.researchgate.net/publication/299013953_Kernel_Balancing_A_flexible_non-parametric_weighting_procedure_for_estimating_causal_effects>.
URL: https://github.com/chadhazlett/kbal
License: GPL (>= 2)
LazyData: TRUE
LazyLoad: yes
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.11.0), RcppParallel (>= 4.4.4), dplyr, RSpectra
LinkingTo: Rcpp, RcppParallel
Maintainer: Borna Bateni <borna@ucla.edu>
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-02-23 09:03:17 UTC; borna
Author: Chad Hazlett [aut, cph],
  Ciara Sterbenz [aut],
  Erin Hartman [ctb],
  Alex Kravetz [ctb],
  Borna Bateni [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-23 09:20:08 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 13:41:24 UTC; unix
Archs: kbal.so.dSYM
