average_vim |
Average multiple independent importance estimates |
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-validation |
format.vim |
Format a 'vim' object |
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_cross_entropy |
Estimate the cross-entropy |
measure_deviance |
Estimate the deviance |
measure_mse |
Estimate mean squared error |
measure_r_squared |
Estimate R-squared |
merge_vim |
Merge multiple 'vim' objects into one |
print.vim |
Print a 'vim' object |
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 and Inference |
vim |
Nonparametric Intrinsic Variable Importance Estimates and Inference |
vimp |
vimp: Perform Inference on Algorithm-Agnostic Intrinsic Variable Importance |
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 standard errors |