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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install.packages("ICEbox")

1.2 by Adam Kapelner, 9 months ago


https://github.com/kapelner/ICEbox


Report a bug at https://github.com/kapelner/ICEbox/issues


Browse source code at https://github.com/cran/ICEbox


Authors: Alex Goldstein [aut] , Adam Kapelner [aut, cre] (ORCID: , Justin Bleich [aut]


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports ggplot2, checkmate, data.table, Rcpp

Suggests randomForest, MASS, testthat, rpart

Linking to Rcpp


Suggested by pdp.


See at CRAN