Learn R Programming

ICEbox (version 1.1.5)

Individual Conditional Expectation Plot Toolbox

Description

Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.

Copy Link

Version

Install

install.packages('ICEbox')

Monthly Downloads

1,032

Version

1.1.5

License

GPL-2 | GPL-3

Maintainer

Adam Kapelner

Last Published

August 22nd, 2022

Functions in ICEbox (1.1.5)

clusterICE

Clustering of ICE and d-ICE curves by kmeans.
WhiteWine

Data concerning white wine.
summary.dice

Summary function for dice objects.
ice

Creates an object of class ice.
plot.ice

Plotting of ice objects.
print.ice

Print method for ice objects.
dice

Creates an object of class dice.
plot.dice

Create a plot of a dice object.
print.dice

Print method for dice objects.
summary.ice

Summary function for ice objects.