| aglm-package | aglm: Accurate Generalized Linear Model | 
| AccurateGLM-class | Class for results of 'aglm()' and 'cv.aglm()' | 
| aglm | Fit an AGLM model with no cross-validation | 
| AGLM_Input-class | S4 class for input | 
| coef.AccurateGLM | Get coefficients | 
| createEqualFreqBins | Create bins (equal frequency binning) | 
| createEqualWidthBins | Create bins (equal width binning) | 
| cv.aglm | Fit an AGLM model with cross-validation for lambda | 
| cva.aglm | Fit an AGLM model with cross-validation for both alpha and lambda | 
| CVA_AccurateGLM-class | Class for results of 'cva.aglm()' | 
| deviance.AccurateGLM | Get deviance | 
| executeBinning | Binning the data to given bins. | 
| getLVarMatForOneVec | Create L-variable matrix for one variable | 
| getODummyMatForOneVec | Create a O-dummy matrix for one variable | 
| getUDummyMatForOneVec | Create a U-dummy matrix for one variable | 
| plot.AccurateGLM | Plot contribution of each variable and residuals | 
| predict.AccurateGLM | Make predictions for new data | 
| print.AccurateGLM | Display textual information of the model | 
| residuals.AccurateGLM | Get residuals of various types |