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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.4 rolling linux/jammy R-4.5 kbal_0.1.4.tar.gz 204.5 KiB
0.1.4 rolling linux/noble R-4.5 kbal_0.1.4.tar.gz 205.5 KiB
0.1.4 rolling source/ R- kbal_0.1.4.tar.gz 97.9 KiB
0.1.4 latest linux/jammy R-4.5 kbal_0.1.4.tar.gz 204.5 KiB
0.1.4 latest linux/noble R-4.5 kbal_0.1.4.tar.gz 205.5 KiB
0.1.4 latest source/ R- kbal_0.1.4.tar.gz 97.9 KiB
0.1.4 2026-04-26 source/ R- kbal_0.1.4.tar.gz 97.9 KiB
0.1.4 2026-04-23 source/ R- kbal_0.1.4.tar.gz 97.9 KiB
0.1.4 2026-04-09 windows/windows R-4.5 kbal_0.1.4.zip 527.5 KiB
0.1.2 2025-04-20 source/ R- kbal_0.1.2.tar.gz 95.8 KiB

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