ordermscore
(Package: frontiles) :
Calculates order-m efficiency score with asymptotic formula
Calculates order-m efficiency score (output, input and hyperbolic direction) for a set of assessment points (xeval, yeval) depending on sample points (xobs, yobs), using the formulas of Daouia and Gijbels (2011).
ordermfrontier.2d
(Package: frontiles) :
Representation of m-order efficiency frontier for 1 output and 1 input
Representation of the m-order efficiency score (output, input or hyperbolic direction) for a set of reference points (xobs, yobs) in 2D (1 output and 1 input).
Calculates alpha-quantile efficiency score (output, input and hyperbolic direction) for a set of evaluation points (xeval, yeval) depending on reference points (xobs, yobs).
ROCscore
(Package: frontiles) :
The ROC curve to help choosing alpha and m parameters
Computes the percentage of firms super-efficient according to the parameter alpha for alpha-quantile score and m for m-order score in a given direction.
alphafrontier.2d
(Package: frontiles) :
Representation of alpha-quantile efficiency frontier for 1 output and 1 input
Representation of the alpha-quantile efficiency frontier (output, input or hyperbolic direction) for a set of reference points (xobs, yobs) in 2D (1 output and 1 input).
Calculates order-m efficiency score (output, input and hyperbolic direction) for a set of assessment points (xeval, yeval) depending on sample points (xobs, yobs), using the initial algorithm of Cazals et al. (2002).
3d representation of alpha-quantile frontier for a set of reference points (xobs,yobs) in the case of two input and one output. No representation yet for hyperbolic direction.
It calculates the alpha-quantile efficiency score and order-m score in multi-dimension and gives representation of alpha-quantile efficiency frontier. This work was supported by the agence nationale de la recherche through the EPI project (ANR-08-BLAN-0106-01)
providing 
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