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kbal: Kernel Balancing

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/stats>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.11.0), RcppParallel (≥ 4.4.4), dplyr, RSpectra
LinkingTo: Rcpp, RcppParallel
Published: 2024-10-16
DOI: 10.32614/CRAN.package.kbal
Author: Chad Hazlett [aut, cph], Ciara Sterbenz [aut], Erin Hartman [ctb], Alex Kravetz [ctb], Borna Bateni [aut, cre]
Maintainer: Borna Bateni <borna at ucla.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/chadhazlett/kbal
NeedsCompilation: yes
Materials: NEWS
CRAN checks: kbal results [issues need fixing before 2024-12-05]

Documentation:

Reference manual: kbal.pdf

Downloads:

Package source: kbal_0.1.1.tar.gz
Windows binaries: r-devel: kbal_0.1.1.zip, r-release: kbal_0.1.1.zip, r-oldrel: kbal_0.1.1.zip
macOS binaries: r-release (arm64): kbal_0.1.1.tgz, r-oldrel (arm64): kbal_0.1.1.tgz, r-release (x86_64): kbal_0.1.1.tgz, r-oldrel (x86_64): kbal_0.1.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.