average_vim             Average multiple independent importance
                        estimates
bootstrap_se            Compute bootstrap-based standard error
                        estimates for variable importance
check_fitted_values     Check pre-computed fitted values for call to
                        vim, cv_vim, or sp_vim
check_inputs            Check inputs to a call to vim, cv_vim, or
                        sp_vim
create_z                Create complete-case outcome, weights, and Z
cv_vim                  Nonparametric Intrinsic Variable Importance
                        Estimates and Inference using Cross-fitting
est_predictiveness      Estimate a nonparametric predictiveness
                        functional
est_predictiveness_cv   Estimate a nonparametric predictiveness
                        functional using cross-fitting
estimate                Estimate a Predictiveness Measure
estimate.predictiveness_measure
                        Obtain a Point Estimate and Efficient Influence
                        Function Estimate for a Given Predictiveness
                        Measure
estimate_eif_projection
                        Estimate projection of EIF on fully-observed
                        variables
estimate_nuisances      Estimate nuisance functions for average
                        value-based VIMs
estimate_type_predictiveness
                        Estimate Predictiveness Given a Type
extract_sampled_split_predictions
                        Extract sampled-split predictions from a
                        CV.SuperLearner object
format.predictiveness_measure
                        Format a 'predictiveness_measure' object
format.vim              Format a 'vim' object
get_cv_sl_folds         Get a numeric vector with cross-validation fold
                        IDs from CV.SuperLearner
get_full_type           Obtain the type of VIM to estimate using
                        partial matching
get_test_set            Return test-set only data
make_folds              Create Folds for Cross-Fitting
make_kfold              Turn folds from 2K-fold cross-fitting into
                        individual K-fold folds
measure_accuracy        Estimate the classification accuracy
measure_anova           Estimate ANOVA decomposition-based variable
                        importance.
measure_auc             Estimate area under the receiver operating
                        characteristic curve (AUC)
measure_average_value   Estimate the average value under the optimal
                        treatment rule
measure_cross_entropy   Estimate the cross-entropy
measure_deviance        Estimate the deviance
measure_mse             Estimate mean squared error
measure_npv             Estimate the positive predictive value (NPV)
measure_ppv             Estimate the positive predictive value (PPV)
measure_r_squared       Estimate R-squared
measure_sensitivity     Estimate the sensitivity
measure_specificity     Estimate the specificity
merge_vim               Merge multiple 'vim' objects into one
predictiveness_measure
                        Construct a Predictiveness Measure
print.predictiveness_measure
                        Print 'predictiveness_measure' objects
print.vim               Print 'vim' objects
process_arg_lst         Process argument list for Super Learner
                        estimation of the EIF
run_sl                  Run a Super Learner for the provided subset of
                        features
sample_subsets          Create necessary objects for SPVIMs
scale_est               Return an estimator on a different scale
sp_vim                  Shapley Population Variable Importance Measure
                        (SPVIM) Estimates and Inference
spvim_ics               Influence function estimates for SPVIMs
spvim_se                Standard error estimate for SPVIM values
vim                     Nonparametric Intrinsic Variable Importance
                        Estimates and Inference
vimp_accuracy           Nonparametric Intrinsic Variable Importance
                        Estimates: Classification accuracy
vimp_anova              Nonparametric Intrinsic Variable Importance
                        Estimates: ANOVA
vimp_auc                Nonparametric Intrinsic Variable Importance
                        Estimates: AUC
vimp_ci                 Confidence intervals for variable importance
vimp_deviance           Nonparametric Intrinsic Variable Importance
                        Estimates: Deviance
vimp_hypothesis_test    Perform a hypothesis test against the null
                        hypothesis of delta importance
vimp_regression         Nonparametric Intrinsic Variable Importance
                        Estimates: ANOVA
vimp_rsquared           Nonparametric Intrinsic Variable Importance
                        Estimates: R-squared
vimp_se                 Estimate variable importance standard errors
vrc01                   Neutralization sensitivity of HIV viruses to
                        antibody VRC01
