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vip  

Variable Importance Plots
View on CRAN: Click here


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

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

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



Attach the package and use:
library("vip")
Maintained by
Brandon M. Greenwell
[Scholar Profile | Author Map]
First Published: 2018-06-15
Latest Update: 2023-08-21
Description:
A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
How to cite:
Brandon M. Greenwell (2018). vip: Variable Importance Plots. R package version 0.4.1, https://cran.r-project.org/web/packages/vip. Accessed 09 May. 2025.
Previous versions and publish date:
0.1.0 (2018-06-15 11:10), 0.1.1 (2018-09-27 15:40), 0.1.2 (2018-10-01 00:00), 0.1.3 (2019-07-03 16:20), 0.2.0 (2020-01-19 17:40), 0.2.1 (2020-01-20 20:20), 0.2.2 (2020-04-06 15:00), 0.3.2 (2020-12-17 17:20), 0.4.0 (2023-07-19 11:00)
Other packages that cited vip R package
View vip citation profile
Other R packages that vip depends, imports, suggests or enhances
Complete documentation for vip
Functions, R codes and Examples using the vip R package
Some associated functions: gen_friedman . get_feature_names . list_metrics . titanic . titanic_mice . vi . vi_firm . vi_model . vi_permute . vi_shap . vip . 
Some associated R codes: data.R . gen_friedman.R . get_feature_names.R . get_training_data.R . metrics.R . utils.R . vi.R . vi_firm.R . vi_model.R . vi_permute.R . vi_shap.R . vip.R .  Full vip package functions and examples
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