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:	1.1.5
Depends:	sfsmisc
Suggests:	randomForest, MASS
Published:	2022-08-22
Author:	Alex Goldstein, Adam Kapelner, Justin Bleich
Maintainer:	Adam Kapelner <kapelner at qc.cuny.edu>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
Citation:	ICEbox citation info
Materials:	ChangeLog
In views:	MachineLearning
CRAN checks:	ICEbox results

Documentation:

Reference manual:

ICEbox.pdf

Downloads:

Package source:	ICEbox_1.1.5.tar.gz
Windows binaries:	r-devel: ICEbox_1.1.5.zip, r-release: ICEbox_1.1.5.zip, r-oldrel: ICEbox_1.1.5.zip
macOS binaries:	r-release (arm64): ICEbox_1.1.5.tgz, r-oldrel (arm64): ICEbox_1.1.5.tgz, r-release (x86_64): ICEbox_1.1.5.tgz, r-oldrel (x86_64): ICEbox_1.1.5.tgz
Old sources:	ICEbox archive

Reverse dependencies:

Reverse suggests:

pdp

Linking:

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