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 |