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boostingDEA

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install.packages('boostingDEA')

Monthly Downloads

183

Version

0.1.0

License

AGPL (>= 3)

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Maintainer

Maria D. Guillen

Last Published

May 15th, 2023

Functions in boostingDEA (0.1.0)

EAT_object

Create a EAT object
ERG

Enhanced Russell Graph measure
MARSAdapted

Adapted Multivariate Adaptive Frontier Splines
FDH

Free Disposal Hull model
EstimCoeffsForward

Estimate Coefficients in Multivariate Adaptive Frontier Splines during Forward Procedure.
deepEAT

Deep Efficiency Analysis Trees
comparePareto

Pareto-dominance relationships
bestMARSBoost

Tuning an MARSBoost model
bestEATBoost

Tuning an EATBoost model
MARSAdapted_object

Create an MARSAdapted object
mse

Mean Squared Error
isFinalNode

Is Final Node
MARSAdaptedSmooth

Smoothing (Forward) Multivariate Adaptive Frontier Splines
predict.FDH

Model Prediction for FDH
predict.MARSAdapted

Model Prediction for Adapted Multivariate Adaptive Frontier Splines.
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
MARSBoost

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

Linear programming model for Russell output measure
WAM

Linear programming model for Weighted Additive Model
split

Split node
Russell_in

Linear programming model for Russell input measure
mse_tree

Mean Squared Error
banks

Taiwanese banks (in 2010)
BBC_out

Linear programming model for radial output measure
CobbDouglas

Single Output Data Generation
posIdNode

Position of the node
efficiency

Calculate efficiency scores
estimEAT

Estimation of child nodes
predict.EAT

Model Prediction for Efficiency Analysis Trees.
get.a.trees

Get the inferior corner of the leave support from all trees of EATBoost
preProcess

Data Pre-processing for Multivariate Adaptive Frontier Splines.
get.a.EATBoost

Get EATBoost leaves supports
predict.DEA

Model Prediction for DEA
predict.EATBoost

Model prediction for EATBoost algorithm
predict.MARSBoost

Model Prediction for Boosted Multivariate Adaptive Frontier Splines
predictor

Efficiency Analysis Trees Predictor
DDF

Linear programming model for Directional Distance Function measure
DEA

Data Envelope Analysis model
CreateBF

Generate a new pair of Basis Functions
CreateCubicBF

Generate a new pair of Cubic Basis Functions
EAT

Efficiency Analysis Trees
EATBoost

Gradient Tree Boosting
AddBF

Add a new pair of Basis Functions
BBC_in

Linear programming model for radial input measure