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 |