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:
ICEbox_1.2.tar.gz
ICEbox_1.2.zip(r-4.7-x86_64)ICEbox_1.2.zip(r-4.7-arm64)ICEbox_1.2.zip(r-4.6-x86_64)ICEbox_1.2.zip(r-4.6-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✨
DESCRIPTION
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
- WhiteWine - Data concerning white wine.
Last updated from:b805366b66. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 99 | ||
| linux-devel-x86_64 | OK | 126 | ||
| source / vignettes | OK | 180 | ||
| linux-release-arm64 | OK | 94 | ||
| linux-release-x86_64 | OK | 119 | ||
| windows-devel-arm64 | OK | 215 | ||
| windows-devel-x86_64 | OK | 117 | ||
| windows-release-arm64 | OK | 234 | ||
| windows-release-x86_64 | OK | 110 | ||
| wasm-release | OK | 91 |
Exports:additivityLineupbackfitterclusterICEcolSds_cppderivative_cppdiceicemelt_ice_curves_cpprowCenter_cppsg_smooth_cpptransform_ice_curves_cpp
Dependencies:backportscheckmateclicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr
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 |