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ICEbox  

Individual Conditional Expectation Plot Toolbox
View on CRAN: Click here


Download and install ICEbox package within the R console
Install from CRAN:
install.packages("ICEbox")

Install from Github:
library("remotes")
install_github("cran/ICEbox")

Install by package version:
library("remotes")
install_version("ICEbox", "1.1.5")



Attach the package and use:
library("ICEbox")
Maintained by
Adam Kapelner
[Scholar Profile | Author Map]
First Published: 2013-10-18
Latest Update: 2022-08-22
Description:
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.
How to cite:
Adam Kapelner (2013). ICEbox: Individual Conditional Expectation Plot Toolbox. R package version 1.1.5, https://cran.r-project.org/web/packages/ICEbox. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1 (2013-10-18 08:07), 1.0 (2014-04-25 17:55), 1.1.1 (2017-03-29 23:43), 1.1.2 (2017-07-13 06:54), 1.1 (2016-04-21 22:12)
Other packages that cited ICEbox R package
View ICEbox citation profile
Other R packages that ICEbox depends, imports, suggests or enhances
Complete documentation for ICEbox
Functions, R codes and Examples using the ICEbox R package
Some associated functions: WhiteWine . clusterICE . dice . ice . plot.dice . plot.ice . print.dice . print.ice . summary.dice . summary.ice . 
Some associated R codes: clusterICE.R . dice.R . ice.R . plot.dice.R . plot.ice.R . print.dice.R . print.ice.R . summary.dice.R . summary.ice.R .  Full ICEbox package functions and examples
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