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kernelshap  

Kernel SHAP
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kernelshap", "0.4.1")



Attach the package and use:
library("kernelshap")
Maintained by
Michael Mayer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-12
Latest Update: 2023-05-17
Description:
Efficient implementation of Kernel SHAP, see Lundberg and Lee (2017), and Covert and Lee (2021) . Furthermore, for up to 14 features, exact permutation SHAP values can be calculated. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
How to cite:
Michael Mayer (2022). kernelshap: Kernel SHAP. R package version 0.4.1, https://cran.r-project.org/web/packages/kernelshap
Previous versions and publish date:
0.1.0 (2022-08-12 14:20), 0.2.0 (2022-09-05 14:50), 0.3.0 (2022-09-29 19:00), 0.3.1 (2022-11-18 14:40), 0.3.2 (2022-12-17 11:00), 0.3.3 (2023-01-11 18:30), 0.3.4 (2023-02-26 02:00), 0.3.5 (2023-03-31 20:00), 0.3.6 (2023-05-03 20:20), 0.3.7 (2023-05-17 09:20), 0.3.8 (2023-09-23 16:00), 0.4.0 (2023-11-10 21:23)
Other packages that cited kernelshap R package
View kernelshap citation profile
Other R packages that kernelshap depends, imports, suggests or enhances
Functions, R codes and Examples using the kernelshap R package
Some associated functions: is.kernelshap . is.permshap . kernelshap . permshap . print.kernelshap . print.permshap . summary.kernelshap . summary.permshap . 
Some associated R codes: kernelshap.R . methods.R . permshap.R . utils.R . utils_kernelshap.R . utils_permshap.R .  Full kernelshap package functions and examples
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