Man pages for CARRoT
Predicting Categorical and Continuous Outcomes Using One in Ten Rule
| AUC | Area Under the Curve |
| av_out | Averaging out the predictive power |
| comb | Combining in a list |
| compute_max_length | Maximum number of the regressions |
| compute_max_weight | Maximum feasible weight of the predictors |
| compute_weights | Weights of predictors |
| cross_val | Cross-validation run |
| cub | Three-way interactions and squares |
| find_int | Finding the interacting terms based on the index |
| find_sub | Finds certain subsets of predictors |
| get_indices | Best regression |
| get_predictions | Predictions for multinomial regression |
| get_predictions_lin | Predictions for linear regression |
| get_probabilities | Probabilities for multinomial regression |
| make_numeric | Turning a non-numeric variable into a numeric one |
| make_numeric_sets | Transforming the set of predictors into a numeric set |
| quadr | Pairwise interactions and squares |
| regr_ind | Indices of the best regressions |
| sum_weights_sub | Cumulative weights of the predictors' subsets |
