| anova_filter | ANOVA filter |
| boruta_filter | Boruta filter |
| boxplot_model | Boxplot model predictors |
| coef.nestcv.glmnet | Extract coefficients from nestcv.glmnet object |
| collinear | Filter to reduce collinearity in predictors |
| combo_filter | Combo filter |
| correls2 | Correlation between a vector and a matrix |
| correl_filter | Correlation filter |
| cva.glmnet | Cross-validation of alpha for glmnet |
| glmnet_coefs | glmnet coefficients |
| glmnet_filter | glmnet filter |
| innercv_roc | Build ROC curve from left-out folds from inner CV |
| innercv_roc.nestcv.glmnet | Build ROC curve from left-out folds from inner CV |
| innercv_roc.nestcv.train | Build ROC curve from left-out folds from inner CV |
| lm_filter | Linear model filter |
| model.hsstan | hsstan model for cross-validation |
| nestcv.glmnet | Nested cross-validation with glmnet |
| nestcv.train | Nested cross-validation for caret |
| outercv | Outer cross-validation of selected models |
| outercv.default | Outer cross-validation of selected models |
| outercv.formula | Outer cross-validation of selected models |
| plot.cva.glmnet | Plot lambda across range of alphas |
| plot_alphas | Plot cross-validated glmnet alpha |
| plot_caret | Plot caret tuning |
| plot_lambdas | Plot cross-validated glmnet lambdas across outer folds |
| predict.hsstan | Predict from hsstan model fitted within cross-validation |
| predict.nestcv.glmnet | Predict method for nestcv.glmnet fits |
| predSummary | Summarise prediction performance metrics |
| relieff_filter | ReliefF filter |
| rf_filter | Random forest filter |
| ttest_filter | t-test filter |
| wilcoxon_filter | Wilcoxon test filter |