ICEbox: Individual Conditional Expectation Plot Toolbox

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.

Version: 1.1.2
Depends: sfsmisc
Suggests: randomForest, MASS
Published: 2017-07-13
Author: Alex Goldstein, Adam Kapelner, Justin Bleich
Maintainer: Adam Kapelner <kapelner at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: ICEbox citation info
In views: MachineLearning
CRAN checks: ICEbox results


Reference manual: ICEbox.pdf
Package source: ICEbox_1.1.2.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: ICEbox_1.1.2.tgz, r-oldrel: ICEbox_1.1.2.tgz
Old sources: ICEbox archive


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