efficiency {boostingDEA}  R Documentation 
Calculate efficiency scores
Description
Calculates the efficiency score corresponding to the given model
using the given measure
Usage
efficiency(
model,
measure = "rad.out",
data,
x,
y,
heuristic = TRUE,
direction.vector = NULL,
weights = NULL
)
Arguments
model 
Model object for which efficiency score is computed. Valid classes
are: DEA , FDH , EATBoost and MARSBoost .

measure 
Efficiency measure used. Valid measures are: rad.out ,
rad.in

data 
data.frame or matrix containing the new variables
in the model.

x 
Vector. Column input indexes in data.

y 
Vector. Column output indexes in data.

heuristic 
Only used if model is EATBoost . This indicates
whether the heuristic or the exact approach is used.

direction.vector 
Only used when measure is DDF .Direction vector.
Valid values are: dmu (x_0, y_0), unit (unit vector),
mean (mean values of each variable) and a user specific vector of
the same length as the number of input and output variables

weights 
Only used when measure is WAM . Weights.
Valid values are: MIP (Measure of Inefficiency
Proportions), RAM (Range Adjusted Measure), BAM (Bounded
Adjusted Measure), normalized (normalized weighted additive model)
and a user specific vector of the same length as the number of input and
output variables

Value
matrix
with the the predicted score
[Package
boostingDEA version 0.1.0
Index]