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>.
Version: 0.1.3 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 0.11.0), RcppParallel (≥ 4.4.4), dplyr, RSpectra LinkingTo: Rcpp, RcppParallel Published: 2025-07-06 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=kbal to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4