AFIT-R/vip: Variable importance plots using ggplot2-based graphics
Version 0.0.1.9000

Construct and/or plot variable importance scores for various classes of fitted machine learning models in R. A new variable importance metric based on Friedman's partial dependence functions is also made available.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.0.1.9000
URL 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 April 13, 2018, 8:35 p.m.