R: A Boosting Approach to Data Envelopment Analysis

# A Boosting Approach to Data Envelopment Analysis

## Documentation for package ‘boostingDEA’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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