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.


Reference manual

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1.1.2 by Adam Kapelner, 5 years ago

Browse source code at

Authors: Alex Goldstein , Adam Kapelner , Justin Bleich

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning

GPL-2 | GPL-3 license

Depends on sfsmisc

Suggests randomForest, MASS

See at CRAN