Package: ICEbox 1.2

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

ICEbox_1.2.tar.gz
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://cran.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:

On CRAN:

Conda:

cppopenmp

2.44 score 61 scripts 4.5k downloads 11 exports 21 dependencies

Last updated from:b805366b66. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK131
linux-devel-x86_64OK135
source / vignettesOK164
linux-release-arm64OK122
linux-release-x86_64OK139
wasm-releaseOK148

Exports:additivityLineupbackfitterclusterICEcolSds_cppderivative_cppdiceicemelt_ice_curves_cpprowCenter_cppsg_smooth_cpptransform_ice_curves_cpp

Dependencies:backportscheckmateclicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr