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 |