| apply_binning | Apply binning |
| apply_binnings | Apply binnings |
| binning | Grouping or binning |
| binning.character | Grouping or binning character/factors variables |
| binning.numeric | Grouping or binning for numeric variables |
| bivariate_table | Calculate bivariate table from a vector and a response... |
| ct_rules | Get rules from partykit object |
| describe | Describe |
| describe_bivariate | Describe Bivariate |
| feature_creation | Create variable from behavior data |
| feature_selection_raw | Perform a very raw Feature Selection |
| german_credit | German Credit Data |
| hhi | Herfindahl-Hirschman Index |
| irks | Functions To Develop Credit Risk Models |
| irks-exports | irks exported operators and S3 methods |
| irks-imports | irks imported operators and S3 methods |
| label_hhi | Get labels for HH indexes |
| label_iv | Get labels for Information Values |
| label_psi | Get labels for PSIs |
| model_plot | Plot a model |
| model_predict | Obntaing the weigths and score for every variable in the... |
| model_scorecard | Creating a scorecard from logistic model |
| model_summary | Get a summary of the logistic glm model considering reference... |
| plot.binning | Generic method to plot a binnig object |
| print.binning | Generic method to print a binnig object |
| roc_data | Function to get data to plot a roc curve |
| var_importance | Importance variable for predictive methods |
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