# Feature Importance Methods for Global Explanations

## Documentation for package ‘xplainfi’ version 1.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

%||% | Default value for 'NULL'
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
RFI | Relative Feature Importance
rsmp_all_test | Create a resampling with all data being test data
SAGE | Shapley Additive Global Importance (SAGE) Base Class
sim_dgp_confounded | Simulation DGPs for Feature Importance Method Comparison
sim_dgp_correlated | Simulation DGPs for Feature Importance Method Comparison
sim_dgp_ewald | Simulate data as in Ewald et al. (2024)
sim_dgp_independent | Simulation DGPs for Feature Importance Method Comparison
sim_dgp_interactions | Simulation DGPs for Feature Importance Method Comparison
sim_dgp_mediated | Simulation DGPs for Feature Importance Method Comparison
sim_dgp_scenarios | Simulation DGPs for Feature Importance Method Comparison
wvim_design_matrix | Create Feature Selection Design Matrix
xplain_opt | xplainfi Package Options