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explainer
View on CRAN: Click
here
Download and install explainer package within the R console
Install from CRAN:
install.packages("explainer")
Install from Github:
library("remotes")
install_github("cran/explainer") Install by package version:
library("remotes")
install_version("explainer", "1.0.2") Attach the package and use:
library("explainer")
Maintained by
Ramtin Zargari Marandi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-15
Latest Update: 2024-09-30
Description:
It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
How to cite:
Ramtin Zargari Marandi (2023). explainer: Machine Learning Model Explainer. R package version 1.0.2, https://cran.r-project.org/web/packages/explainer. Accessed 25 Jun. 2026.
Other packages that cited explainer R package
View explainer citation profile
Other R packages that explainer depends,
imports, suggests or enhances
Complete documentation for explainer
Functions, R codes and Examples using
the explainer R package
Some associated functions: SHAPclust . ShapFeaturePlot . ShapPartialPlot . eCM_plot . eDecisionCurve . eFairness . ePerformance . eROC_plot . eSHAP_plot . eSHAP_plot_reg . explainer-package . range01 . regressmdl_eval .
Some associated R codes: SHAPclust.R . ShapFeaturePlot.R . eCM_plot.R . eDecisionCurve.R . eFairness.R . eROC_plot.R . eSHAP_plot.R . eSHAP_plot_reg.R . eperformance.R . explainer-package.R . range01.R . regressmdl_eval.R . shapPartialPlot.R . Full explainer package functions and examples
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