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ICEbox: 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.
Getting started
Browse package contents
Package details |
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| Author | Alex Goldstein [aut], Adam Kapelner [aut, cre] (ORCID: <https://orcid.org/0000-0001-5985-6792>), Justin Bleich [aut] |
| Maintainer | Adam Kapelner <kapelner@qc.cuny.edu> |
| License | GPL-2 | GPL-3 |
| Version | 1.2 |
| URL | https://github.com/kapelner/ICEbox |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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