boostingDEA (version 0.1.0)

efficiency: 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
)

Value

matrix with the the predicted score

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