Individual Conditional Expectation Plot Toolbox R package ICEbox version 1.2 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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. Software Imports: ggplot2, checkmate, data.table, Rcpp LinkingTo: Rcpp Suggests: randomForest, MASS, testthat, rpart Adam Kapelner <kapelner@qc.cuny.edu> Comprehensive R Archive Network (CRAN) Alex Goldstein [aut], Adam Kapelner [aut, cre] (ORCID: <https://orcid.org/0000-0001-5985-6792>), Justin Bleich [aut] GPL-2 GPL-3 2026-01-12 application/tgz https://CRAN.R-project.org/package=ICEbox doi:10.32614/CRAN.package.ICEbox