efficiency: Calculate efficiency scores

In boostingDEA: A Boosting Approach to Data Envelopment Analysis

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

boostingDEA documentation built on May 31, 2023, 6:33 p.m.