Package: ICEbox 1.1.5

Adam Kapelner

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.

Authors:Alex Goldstein, Adam Kapelner, Justin Bleich

ICEbox_1.1.5.tar.gz
ICEbox_1.1.5.tar.gz(r-4.5-noble)ICEbox_1.1.5.tar.gz(r-4.4-noble)
ICEbox_1.1.5.tgz(r-4.4-emscripten)ICEbox_1.1.5.tgz(r-4.3-emscripten)
ICEbox.pdf |ICEbox.html✨
ICEbox/json (API)

# Install 'ICEbox' in R:
install.packages('ICEbox', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:r-icebox-1.1.5(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 762 downloads 3 exports 1 dependencies

Last updated 3 years agofrom:75a2bd1b00. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-linuxOKApr 01 2025

Exports:clusterICEdiceice

Dependencies:sfsmisc

Citation

To cite ICEbox in publications, please use:

Goldstein, A., Kapelner, A., Bleich, J., and Pitkin, E., Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation. (2015) Journal of Computational and Graphical Statistics, 24(1): 44-65

Corresponding BibTeX entry: 

  @Article{,
    title = {Peeking Inside the Black Box: Visualizing Statistical
      Learning With Plots of Individual Conditional Expectation},
    author = {Alex Goldstein and Adam Kapelner and Justin Bleich and
      Emil Pitkin},
    journal = {Journal of Computational and Graphical Statistics},
    volume = {24},
    number = {1},
    pages = {44--65},
    doi = {10.1080/10618600.2014.907095},
    year = {2015},
  }