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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
DOI:10.32614/CRAN.package.ICEbox
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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=ICEboxto link to this page.


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