vip: Variable Importance Plots

A general framework for constructing variable importance plots from various types machine learning models in R. Aside from some standard model- based variable importance measures, this package also provides a novel approach based on partial dependence plots (PDPs) and individual conditional expectation (ICE) curves as described in Greenwell et al. (2018) <arXiv:1805.04755>.

Getting started

Package details

AuthorBrandon Greenwell [aut, cre] (<https://orcid.org/0000-0002-8120-0084>), Brad Boehmke [aut] (<https://orcid.org/0000-0002-3611-8516>), Bernie Gray [aut]
MaintainerBrandon Greenwell <[email protected]>
LicenseGPL (>= 2)
Version0.1.2
URL https://koalaverse.github.io/vip/index.html https://github.com/koalaverse/vip/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("vip")

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vip documentation built on Oct. 1, 2018, 1:03 a.m.