Package: ICEbox 1.2

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 [aut], Adam Kapelner [aut, cre], Justin Bleich [aut]

ICEbox_1.2.tar.gz
ICEbox_1.2.zip(r-4.7)ICEbox_1.2.zip(r-4.6)ICEbox_1.2.zip(r-4.5)
ICEbox_1.2.tgz(r-4.6-x86_64)ICEbox_1.2.tgz(r-4.6-arm64)ICEbox_1.2.tgz(r-4.5-x86_64)ICEbox_1.2.tgz(r-4.5-arm64)
ICEbox_1.2.tar.gz(r-4.7-arm64)ICEbox_1.2.tar.gz(r-4.7-x86_64)ICEbox_1.2.tar.gz(r-4.6-arm64)ICEbox_1.2.tar.gz(r-4.6-x86_64)
ICEbox_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ICEbox/json (API)

# Install 'ICEbox' in R:

install.packages('ICEbox', repos = c('https://kapelner.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kapelner/icebox/issues

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

WhiteWine - Data concerning white wine.

On CRAN:

cpp openmp

5.61 score 35 stars 61 scripts 3.8k downloads 11 exports 21 dependencies

Last updated from:bc963ac01d. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	137
linux-devel-x86_64	OK	158
source / vignettes	OK	223
linux-release-arm64	OK	127
linux-release-x86_64	OK	133
macos-release-arm64	OK	119
macos-release-x86_64	OK	228
macos-oldrel-arm64	OK	130
macos-oldrel-x86_64	OK	414
windows-devel	OK	105
windows-release	OK	164
windows-oldrel	OK	125
wasm-release	OK	105

Exports:additivityLineup backfitter clusterICE colSds_cpp derivative_cpp dice ice melt_ice_curves_cpp rowCenter_cpp sg_smooth_cpp transform_ice_curves_cpp

Dependencies:backports checkmate cli cpp11 data.table farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp rlang S7 scales vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Lineup plot for additivity	additivityLineup
Backfitting for Additive Models	backfitter
Clustering of ICE and d-ICE curves by kmeans.	clusterICE
Efficient Column Standard Deviations	colSds_cpp
Efficient Numerical Derivative for Matrix (Row-wise)	derivative_cpp
Creates an object of class 'dice'.	dice
Creates an object of class 'ice'.	ice
Melt Matrix to Long Format Vector	melt_ice_curves_cpp
Create a plot of a 'dice' object.	plot.dice
Plotting of 'ice' objects.	plot.ice
Print method for 'dice' objects.	print.dice
Print method for 'ice' objects.	print.ice
Row-wise Centering	rowCenter_cpp
Savitzky-Golay Filter for Matrix (Row-wise)	sg_smooth_cpp
Summary function for 'dice' objects.	summary.dice
Summary function for 'ice' objects.	summary.ice
Probability Transformation	transform_ice_curves_cpp
Data concerning white wine.	WhiteWine