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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.
Package details 


Author  Alex Goldstein, Adam Kapelner, Justin Bleich 
Maintainer  Adam Kapelner <kapelner@qc.cuny.edu> 
License  GPL2  GPL3 
Version  1.1.2 
Package repository  View on CRAN 
Installation 
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