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kbal  

Kernel Balancing
View on CRAN: Click here


Download and install kbal package within the R console
Install from CRAN:
install.packages("kbal")

Install from Github:
library("remotes")
install_github("cran/kbal")

Install by package version:
library("remotes")
install_version("kbal", "0.1.1")



Attach the package and use:
library("kbal")
Maintained by
Borna Bateni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-16
Latest Update: 2024-10-16
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/stats>.
How to cite:
Borna Bateni (2024). kbal: Kernel Balancing. R package version 0.1.1, https://cran.r-project.org/web/packages/kbal. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.1 (2024-10-16 20:10)
Other packages that cited kbal R package
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Complete documentation for kbal
Functions, R codes and Examples using the kbal R package
Full kbal package functions and examples
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