Man pages for xplainfi
Feature Importance Methods for Global Explanations
| CFI | Conditional Feature Importance |
| check_groups | Check group specification |
| ConditionalARFSampler | ARF-based Conditional Sampler |
| ConditionalCtreeSampler | (experimental) Conditional Inference Tree Conditional Sampler |
| ConditionalGaussianSampler | Gaussian Conditional Sampler |
| ConditionalKNNSampler | k-Nearest Neighbors Conditional Sampler |
| ConditionalSAGE | Conditional SAGE |
| ConditionalSampler | Conditional Feature Sampler |
| FeatureImportanceMethod | Feature Importance Method Class |
| FeatureSampler | Feature Sampler Class |
| KnockoffGaussianSampler | Gaussian Knockoff Conditional Sampler |
| KnockoffSampler | Knockoff Sampler |
| LOCO | Leave-One-Covariate-Out (LOCO) |
| MarginalPermutationSampler | Marginal Permutation Sampler |
| MarginalReferenceSampler | Marginal Reference Sampler |
| MarginalSAGE | Marginal SAGE |
| MarginalSampler | Marginal Sampler Base Class |
| op-null-default | Default value for 'NULL' |
| PerturbationImportance | Perturbation Feature Importance Base Class |
| PFI | Permutation Feature Importance |
| print_bib | Print an Rd-formatted bib entry |
| RFI | Relative Feature Importance |
| rsmp_all_test | Create a resampling with all data being test data |
| SAGE | Shapley Additive Global Importance (SAGE) Base Class |
| sage_aggregate_predictions | Aggregate Predictions by Coalition and Test Instance |
| sage_batch_predict | Batch Predict for SAGE |
| sim_dgp_ewald | Simulate data as in Ewald et al. (2024) |
| sim_dgp_scenarios | Simulation DGPs for Feature Importance Method Comparison |
| WVIM | Williamson's Variable Importance Measure (WVIM) |
| wvim_design_matrix | Create Feature Selection Design Matrix |
| xplainfi-package | xplainfi: Feature Importance Methods for Global Explanations |
| xplain_opt | xplainfi Package Options |
