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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | CLIQUE_1.0.0.tar.gz |
4.0 MiB |
1.0.0 |
rolling linux/noble R-4.5 | CLIQUE_1.0.0.tar.gz |
4.0 MiB |
1.0.0 |
rolling source/ R- | CLIQUE_1.0.0.tar.gz |
3.9 MiB |
1.0.0 |
latest linux/jammy R-4.5 | CLIQUE_1.0.0.tar.gz |
4.0 MiB |
1.0.0 |
latest linux/noble R-4.5 | CLIQUE_1.0.0.tar.gz |
4.0 MiB |
1.0.0 |
latest source/ R- | CLIQUE_1.0.0.tar.gz |
3.9 MiB |
1.0.0 |
2026-04-23 source/ R- | CLIQUE_1.0.0.tar.gz |
0 B |