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| average_vim | Average multiple independent importance estimates |
| cv_predictiveness_point_est | Estimate a nonparametric predictiveness functional using cross-validation |
| cv_predictiveness_update | Estimate the influence function for an estimator of predictiveness |
| cv_vim | Nonparametric Variable Importance Estimates using Cross-validation |
| cv_vimp_point_est | Estimate variable importance using cross-validation |
| cv_vimp_update | Estimate the influence function for variable importance parameters |
| cv_vim_nodonsker | Nonparametric Variable Importance Estimates using Cross-validation, without Donsker class relaxation |
| format.vim | Format a 'vim' object |
| measure_accuracy | Estimate the classification accuracy |
| measure_auc | Estimate area under the receiver operating characteristic curve (AUC) |
| measure_cross_entropy | Estimate the cross-entropy |
| measure_deviance | Estimate the deviance |
| measure_mse | Estimate mean squared error |
| measure_r_squared | Estimate R-squared Compute nonparametric estimate of R-squared. |
| merge_vim | Merge multiple 'vim' objects into one |
| predictiveness_ci | Confidence intervals for measures of predictiveness |
| predictiveness_point_est | Estimate a nonparametric predictiveness functional |
| predictiveness_se | Estimate standard errors for measures of predictiveness |
| predictiveness_update | Estimate the influence function for an estimator of predictiveness |
| print.vim | Print a 'vim' object |
| run_sl | Run a Super Learner for the provided subset of features |
| sample_subsets | Create necessary objects for SPVIMs |
| spvim_ics | Influence function estimates for SPVIMs |
| spvim_se | Standard error estimate for SPVIM values |
| sp_vim | Shapley Population Variable Importance Measure (SPVIM) estimates |
| vim | Nonparametric Variable Importance Estimates |
| vimp | vimp: Nonparametric variable importance assessment |
| vimp_accuracy | Nonparametric Variable Importance Estimates: Classification accuracy |
| vimp_anova | Nonparametric Variable Importance Estimates: ANOVA |
| vimp_auc | Nonparametric Variable Importance Estimates: AUC |
| vimp_ci | Confidence intervals for variable importance |
| vimp_deviance | Nonparametric Variable Importance Estimates: Deviance |
| vimp_hypothesis_test | Perform a hypothesis test against the null hypothesis of delta importance |
| vimp_point_est | Estimate variable importance |
| vimp_regression | Nonparametric Variable Importance Estimates |
| vimp_rsquared | Nonparametric Variable Importance Estimates: $R^2$ |
| vimp_se | Estimate standard errors |
| vimp_update | Estimate the influence function for variable importance parameters |