Man pages for boostingDEA
A Boosting Approach to Data Envelopment Analysis
| AddBF | Add a new pair of Basis Functions |
| banks | Taiwanese banks (in 2010) |
| BBC_in | Linear programming model for radial input measure |
| BBC_out | Linear programming model for radial output measure |
| bestEATBoost | Tuning an EATBoost model |
| bestMARSBoost | Tuning an MARSBoost model |
| CobbDouglas | Single Output Data Generation |
| comparePareto | Pareto-dominance relationships |
| CreateBF | Generate a new pair of Basis Functions |
| CreateCubicBF | Generate a new pair of Cubic Basis Functions |
| DDF | Linear programming model for Directional Distance Function... |
| DEA | Data Envelope Analysis model |
| deepEAT | Deep Efficiency Analysis Trees |
| EAT | Efficiency Analysis Trees |
| EATBoost | Gradient Tree Boosting |
| EAT_object | Create a EAT object |
| efficiency | Calculate efficiency scores |
| ERG | Enhanced Russell Graph measure |
| EstimCoeffsForward | Estimate Coefficients in Multivariate Adaptive Frontier... |
| estimEAT | Estimation of child nodes |
| FDH | Free Disposal Hull model |
| get.a.EATBoost | Get 'EATBoost' leaves supports |
| get.a.trees | Get the inferior corner of the leave support from all trees... |
| get.b.trees | Get the superior corner of the leave support from all trees... |
| get.intersection.a | Get intersection between two leaves supports |
| isFinalNode | Is Final Node |
| MARSAdapted | Adapted Multivariate Adaptive Frontier Splines |
| MARSAdapted_object | Create an MARSAdapted object |
| MARSAdaptedSmooth | Smoothing (Forward) Multivariate Adaptive Frontier Splines |
| MARSBoost | LS-Boosting with adapted Multivariate Adaptive Frontier... |
| mse | Mean Squared Error |
| mse_tree | Mean Squared Error |
| posIdNode | Position of the node |
| predict.DEA | Model Prediction for DEA |
| predict.EAT | Model Prediction for Efficiency Analysis Trees. |
| predict.EATBoost | Model prediction for EATBoost algorithm |
| predict.FDH | Model Prediction for FDH |
| predict.MARSAdapted | Model Prediction for Adapted Multivariate Adaptive Frontier... |
| predict.MARSBoost | Model Prediction for Boosted Multivariate Adaptive Frontier... |
| predictor | Efficiency Analysis Trees Predictor |
| preProcess | Data Pre-processing for Multivariate Adaptive Frontier... |
| Russell_in | Linear programming model for Russell input measure |
| Russell_out | Linear programming model for Russell output measure |
| split | Split node |
| WAM | Linear programming model for Weighted Additive Model |
