| 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 |