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shapviz  

SHAP Visualizations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("shapviz", "0.9.7")



Attach the package and use:
library("shapviz")
Maintained by
Michael Mayer
[Scholar Profile | Author Map]
First Published: 2022-06-10
Latest Update: 2023-07-18
Description:
Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
How to cite:
Michael Mayer (2022). shapviz: SHAP Visualizations. R package version 0.9.7, https://cran.r-project.org/web/packages/shapviz. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2022-06-10 11:10), 0.2.0 (2022-07-07 21:50), 0.2.1 (2022-08-11 23:20), 0.2.2 (2022-10-07 13:50), 0.3.0 (2022-11-26 18:30), 0.4.0 (2022-12-09 09:50), 0.4.1 (2023-01-11 19:20), 0.5.0 (2023-02-03 12:30), 0.6.0 (2023-03-05 18:00), 0.7.0 (2023-04-11 01:50), 0.8.0 (2023-05-10 01:40), 0.9.0 (2023-06-09 17:10), 0.9.1 (2023-07-18 19:50), 0.9.2 (2023-10-14 19:00), 0.9.3 (2024-01-12 12:40), 0.9.4 (2024-08-21 00:50), 0.9.5 (2024-09-14 16:30), 0.9.6 (2024-10-11 10:50)
Other packages that cited shapviz R package
View shapviz citation profile
Other R packages that shapviz depends, imports, suggests or enhances
Complete documentation for shapviz
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