Package: kbal 0.1.1
Borna Bateni
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>.
Authors:
kbal_0.1.1.tar.gz
kbal_0.1.1.tar.gz(r-4.5-noble)kbal_0.1.1.tar.gz(r-4.4-noble)
kbal_0.1.1.tgz(r-4.4-emscripten)kbal_0.1.1.tgz(r-4.3-emscripten)
kbal.pdf |kbal.html✨
kbal/json (API)
NEWS
| # Install 'kbal' in R: |
| install.packages('kbal', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chadhazlett/kbal/issues
- lalonde - Data from National Supported Work program and Panel Study in Income Dynamics
Last updated 6 days agofrom:d803e6b0ef. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-linux-x86_64 | OK | Oct 17 2024 |
Exports:b_maxvarKbiasbounddimwdrop_multicollinebalance_customgetdistgetwkbalmakeKone_hot
Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6RcppRcppEigenRcppParallelrlangRSpectratibbletidyselectutf8vctrswithr
