Man pages for xxzcool/scoremodel
Credit Scoring Modeling Toolbox
| collElimination | Collinearity Elimination Automatically |
| collElimination2 | Collinearity Elimination by Giving Variables' IV |
| convertCutPoints | Auxiliary Function: Convert Cut Points to Cutbound |
| convertType | Convert Types of Variables |
| CreditData | About 20,000 fictional credit records. |
| crossValidation | Cross Validation for Score Model |
| Curve_Data | Auxiliary Function: Create the Appropriate Data Structure for... |
| delFewValues | Delete Variables Based on Number of Different Values |
| delNArate | Compute and Delete NA Rate of Variable |
| delSinvalPercent | Delete Variables Based on Single-Value Percent |
| dfBinningFun | Generate WOE Configuration List Automatically |
| dfIV | Compute Sum IV of All X Variables |
| excludeCol | Auxiliary Function: Exclude Columns in Data Frame |
| executeBinFun_df | Execute Binning on Dataset |
| extfromFit | Auxiliary Function: Extract Elements From Fit Object |
| fread_basedict | Read Dataset Based on Data-dictionary |
| genConfigList | Generate WOE Configuration List Manually |
| getEqualFreqCuts | Auxiliary Function: Improved Equal-Frequency Binning |
| getIV | Compute the Given Binning IV |
| getWOE | Compute the Given Binning WOE |
| insertElement | Auxiliary Function: Insert Elements into Vector |
| LRfit | Logistic Regression Model Training by Stepwise |
| LRpredict | Logistic Regression Model Predicting |
| maxSinvalPercent | Get the Max Percents of All Variable's Single-Value |
| myCurves | Model Performance Visualization |
| myks | Compute KS Value of Score Model |
| preBinningFun | Variable Pre-Binning, then Computing WOE and IV |
| psi | Compute the PSI Index of Score Model |
| rawPredictFun_df | Predict p Value of Entire Raw Dataset |
| smbinning2 | Auxiliary Function: Optimally Binning of Given Variable |
| splitData | Splitting Dataset into Train and Test Set |
| sumIV | Auxiliary Function: Compute Sum IV of Given Variable |
| transformScore | Transform Prediction to Standard Score |
| woeEncodeFun_df | Encode Dataset as WOE |
