AFIT-R/vip: Variable Importance Plots

A general framework for constructing variable importance plots from various types of 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

Maintainer
LicenseGPL (>= 2)
Version0.1.2.9000
URL https://koalaverse.github.io/vip/index.html https://github.com/koalaverse/vip/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("AFIT-R/vip")
AFIT-R/vip documentation built on Dec. 5, 2018, 7:14 p.m.