anova_filter            ANOVA filter
barplot_var_stability   Barplot variable stability
boot_filter             Bootstrap for filter functions
boot_ttest              Bootstrap univariate filters
boruta_filter           Boruta filter
boxplot_model           Boxplot model predictors
class_balance           Check class balance in training folds
coef.cva.glmnet         Extract coefficients from a cva.glmnet object
coef.nestcv.glmnet      Extract coefficients from nestcv.glmnet object
collinear               Filter to reduce collinearity in predictors
combo_filter            Combo filter
correl_filter           Correlation filter
correls2                Correlation between a vector and a matrix
cv_coef                 Coefficients from outer CV glmnet models
cv_varImp               Extract variable importance from outer CV caret
                        models
cva.glmnet              Cross-validation of alpha for glmnet
glmnet_coefs            glmnet coefficients
glmnet_filter           glmnet filter
innercv_preds           Inner CV predictions
innercv_roc             Build ROC curve from left-out folds from inner
                        CV
innercv_summary         Summarise performance on inner CV test folds
layer_filter            Multilayer filter
lm_filter               Linear model filter
model.hsstan            hsstan model for cross-validation
nestcv.SuperLearner     Outer cross-validation of SuperLearner model
nestcv.glmnet           Nested cross-validation with glmnet
nestcv.train            Nested cross-validation for caret
outercv                 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
plot_shap_bar           SHAP importance bar plot
plot_shap_beeswarm      SHAP importance beeswarm plot
plot_varImp             Variable importance plot
plot_var_stability      Plot variable stability
predSummary             Summarise prediction performance metrics
pred_nestcv_glmnet      Prediction wrappers to use fastshap with
                        nestedcv
predict.hsstan          Predict from hsstan model fitted within
                        cross-validation
predict.nestcv.glmnet   Predict method for nestcv.glmnet fits
randomsample            Oversampling and undersampling
ranger_filter           Random forest ranger filter
relieff_filter          ReliefF filter
rf_filter               Random forest filter
smote                   SMOTE
summary_vars            Summarise variables
supervisedPCA           Supervised PCA plot
train_preds             Outer training fold predictions
train_roc               Build ROC curve from outer CV training folds
train_summary           Summarise performance on outer training folds
ttest_filter            t-test filter
var_direction           Variable directionality
var_stability           Variable stability
weight                  Calculate weights for class imbalance
wilcoxon_filter         Wilcoxon test filter
