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 measure |

DEA | Data Envelope Analysis model |

DEA_object | Data Envelope Analysis model |

deepEAT | Deep Efficiency Analysis Trees |

EAT | Efficiency Analysis Trees |

EATBoost | Gradient Tree Boosting |

EATBoost_object | 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 Splines during Forward Procedure. |

estimEAT | Estimation of child nodes |

FDH | Free Disposal Hull model |

FDH_object | 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 of 'EATBoost' |

get.b.trees | Get the superior corner of the leave support from all trees of 'EATBoost' |

get.intersection.a | Get intersection between two leaves supports |

isFinalNode | Is Final Node |

MARSAdapted | Adapted Multivariate Adaptive Frontier Splines |

MARSAdaptedSmooth | Smoothing (Forward) Multivariate Adaptive Frontier Splines |

MARSAdapted_object | Create an MARSAdapted object |

MARSBoost | LS-Boosting with adapted Multivariate Adaptive Frontier Splines (MARS) |

MARSBoost_object | LS-Boosting with adapted Multivariate Adaptive Frontier Splines (MARS) |

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 Splines. |

predict.MARSBoost | Model Prediction for Boosted Multivariate Adaptive Frontier Splines |

predictor | Efficiency Analysis Trees Predictor |

preProcess | Data Pre-processing for Multivariate Adaptive Frontier Splines. |

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 |