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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 |
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Author | Alex Goldstein, Adam Kapelner, Justin Bleich |
Maintainer | Adam Kapelner <kapelner@qc.cuny.edu> |
License | GPL-2 | GPL-3 |
Version | 1.1.5 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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