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ICEbox (version 1.1.2)

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.

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Version

Install

install.packages('ICEbox')

Monthly Downloads

997

Version

1.1.2

License

GPL-2 | GPL-3

Maintainer

Adam Kapelner

Last Published

July 13th, 2017

Functions in ICEbox (1.1.2)

plot.dice

Create a plot of a dice object.
plot.ice

Plotting of ice objects.
WhiteWine

Data concerning white wine.
clusterICE

Clustering of ICE and d-ICE curves by kmeans.
print.dice

Print method for dice objects.
print.ice

Print method for ice objects.
dice

Creates an object of class dice.
ice

Creates an object of class ice.
summary.dice

Summary function for dice objects.
summary.ice

Summary function for ice objects.