CLIQUE: Conditional Local Importance by Quantile Expectations
Provides methods for interpretable machine learning with an emphasis on local feature importance estimation. The package implements the CLIQUE framework for computing observation-level importance values. Additional tools are included for visualizing multi-class partial dependence relationships across predictors and response classes.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | caret, dplyr, fastDummies, future, future.apply, stats, tidyr, ggplot2, ggh4x, randomForest, rlang, pdp |
| Suggests: | testthat (≥ 3.0.0), datasets |
| Published: | 2026-09-09 |
| DOI: | 10.32614/CRAN.package.CLIQUE |
| Author: | Kelvyn Bladen 
[aut, cre],
Adele Cutler [aut],
D. Richard Cutler [aut],
Kevin R. Moon [aut] |
| Maintainer: | Kelvyn Bladen <kelvyn.bladen at usu.edu> |
| License: | GPL-3 |
| URL: | https://github.com/KelvynBladen/CLIQUE |
| NeedsCompilation: | no |
| Citation: | CLIQUE citation info |
| Materials: | README, NEWS |
| CRAN checks: | CLIQUE results |
Documentation:
| Reference manual: | CLIQUE.html , CLIQUE.pdf |
Downloads:
| Package source: | CLIQUE_1.0.0.tar.gz |
| Windows binaries: | r-devel: CLIQUE_1.0.0.zip, r-release: not available, r-oldrel: CLIQUE_1.0.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): CLIQUE_1.0.0.tgz, r-release (x86_64): CLIQUE_1.0.0.tgz, r-oldrel (x86_64): CLIQUE_1.0.0.tgz |
Linking:
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