boostingDEA0.1.0 package

Estimate Coefficients in Multivariate Adaptive Frontier Splines during...

Estimation of child nodes

Free Disposal Hull model

Get EATBoost leaves supports

Get the inferior corner of the leave support from all trees of `EATBoo...

Get the superior corner of the leave support from all trees of `EATBoo...

Get intersection between two leaves supports

Is Final Node

Add a new pair of Basis Functions

Linear programming model for radial input measure

Linear programming model for radial output measure

Tuning an EATBoost model

Tuning an MARSBoost model

Single Output Data Generation

Pareto-dominance relationships

Generate a new pair of Basis Functions

Generate a new pair of Cubic Basis Functions

Linear programming model for Directional Distance Function measure

Data Envelope Analysis model

Deep Efficiency Analysis Trees

Efficiency Analysis Trees

Create a EAT object

Gradient Tree Boosting

Calculate efficiency scores

Enhanced Russell Graph measure

Adapted Multivariate Adaptive Frontier Splines

Create an MARSAdapted object

Smoothing (Forward) Multivariate Adaptive Frontier Splines

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

Mean Squared Error

Mean Squared Error

Position of the node

Model Prediction for DEA

Model Prediction for Efficiency Analysis Trees.

Model prediction for EATBoost algorithm

Model Prediction for FDH

Model Prediction for Adapted Multivariate Adaptive Frontier Splines.

Model Prediction for Boosted Multivariate Adaptive Frontier Splines

Efficiency Analysis Trees Predictor

Data Pre-processing for Multivariate Adaptive Frontier Splines.

Linear programming model for Russell input measure

Linear programming model for Russell output measure

Split node

Linear programming model for Weighted Additive Model