Man pages for Zelazny7/binnr
Scorecard modeling in R
| bin | bin |
| bin_ | generic method for bin_ |
| Binary_Performance_bin | Subsequent call from the bin function passed to... |
| Binary_Performance-class | Bin reference class generator |
| Binary_Performance_get_excel_table | Return an object that tells openxlsx how to print it to Excel |
| Binary_Performance_plot | Plot method implementation for Binary_Performance |
| Binary_Performance_sort_value | Sort_value method implementation for Binary_Performance |
| Binary_Performance_summarize | Summarize method implementation for Binary_Performance |
| Binary_Performance_summary | Summary method implementation for Binary_Performance |
| Binary_Performance_update | Update method implementation for Binary_Performance |
| Bin_as.matrix | Return matrix summarizing Bin object |
| Bin_bin | Discretize and summarize variables |
| Bin-class | Bin reference class generator |
| Bin_collapse | Collapse levels of a Bin object |
| Bin_expand | Expand a level of a Bin into multiple new levels |
| Bin_factorize | Factrorize superclass method |
| Bin_get_excel_table | Return object for exporting to Excel |
| Bin_minus | Collapse Bins |
| Bin_neutralize | Set performance value to zero |
| Bin_not_equal | Neutralize Bins |
| Bin_plot | Plot the Bin object |
| Bin_plus | Expand Bins |
| Bin_predict | Substitute weight-of-evidence for the input 'x' values |
| Bin_reset | Reset the Bin to the original settings |
| Bin_set_equal | Set one level equal to another |
| Bin_show | Print representation of Bin object |
| Bin_sort_value | Access and return the sort value for the performance object |
| Bin_summary | Return summary information for Bin based on associated... |
| Bin_undo | Undo the last operation |
| Bin_update | Update the Bin object after performing requested operations |
| Classing_adjust | adjust method for Classing objects |
| Classing_bin | Subsequent call from the bin function passed to Classing... |
| Classing-class | Class Classing |
| Classing_cluster | Cluster variables by correlation |
| Classing_combine | Add variables from one classing to another |
| Classing_drop | Flag supplied variables as dropped |
| Classing_get_clusters | Return a data.frame summarizing the variable clusters |
| Classing_prune_clusters | Prune clusters keeping only the most informative variables |
| Classing_summary | Summarize the Classing object |
| Classing_undrop | Flag supplied variables as undropped |
| Continuous-class | Continuous reference class generator |
| Continuous_collapse | Collapse adjacent levels of a Continuous bin object |
| Continuous_exceptions | Set the exception values for Continuous bins |
| Continuous_expand | a level of a Continuous bin into multiple new levels |
| Continuous_factorize | Factorize for Continuous bins |
| Continuous_fmt_numeric_cuts | Helper function to format Continuous bin labels |
| Continuous_gen_code_sas | Generate SAS code for Continuous object |
| Continuous_mono | Set monotoncity for Continuous bins |
| Continuous_predict | Weight-of-Evidence subistitution for Continuous bins |
| Continuous_set_cutpoints | Explicity set bin boundaries for Continuous objects |
| create_bin | generic method for create_bin |
| Discrete-class | Discrete class |
| Discrete_collapse | Collapse levels of a Discrete bin object |
| Discrete_expand | Expand a level of a Discrete bin into multiple new levels |
| Discrete_factorize | Factorize for Discrete bins |
| Discrete_gen_code_sas | Generate SAS code for Discrete object |
| Discrete_predict | Weight-of-Evidence substitution for Discrete bins |
| Model-class | Model class definition |
| neutralize | Neutralize selected levels of Transform setting substitution... |
| Performance-class | Performnace reference class generator#' |
| Scorecard_adjust | Scorecard adjust method entry point |
| Scorecard_bin | Subsequent call from the bin function passed to the Scorecard |
| Scorecard_bootstrap | Run bootstrap model fits to assess coefficient distributions. |
| Scorecard-class | Scorecard reference class generator |
| Scorecard_compare | Compare multiple scorecards side-by-side |
| Scorecard_fit | Fit a model to the current set of variable transforms |
| Scorecard_gen_code_sas | Generate SAS code for Scorecard object |
| Scorecard_get_dropped | Return names of varibales flagged as dropped |
| Scorecard_get_inmodel | Return names of varibales flagged as inmodel |
| Scorecard_predict | Return scorecard predictions or WoE substitution |
| Scorecard_pseudo_pvalues | Deprecated method. Use Scorecard_bootstrap instead. |
| Scorecard_select | Select a fitted model and load the Transforms |
| Scorecard_show | Print the Scorecard representation to the console |
| Scorecard_sort | Sort variables of a scorecard |
| Scorecard_summary | Summarize the currently selected model |
| set_equal | Set substitution of one level equal to substitution of... |
| titanic | Survivors of the Titanic disaster |
| Transform-class | Transfrom reference class generator |
| update_transform | Update Transform object with new information after Bin... |
