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1. Definition of concepts
2. GLM methods
2.1. Desparsified Lasso
2.2. Knockoffs
3. Model-agnostic methods
3.1. Total Sobol Index
3.2. Leave-One-Covariate-Out
3.3. Conditional Feature Importance
3.4. Permutation Feature Importance
4. Marginal methods
4.1. Leave-One-Covariate-In
5. Tools for visualization
6. Measuring the importance of feature groups
7. Inference in high dimension
User guide
6.
Measuring the importance of feature groups
6.
Measuring the importance of feature groups
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