R: Calculate efficiency scores

efficiency {boostingDEA}

R Documentation

Calculate efficiency scores

Calculates the efficiency score corresponding to the given model using the given measure

efficiency(
  model,
  measure = "rad.out",
  data,
  x,
  y,
  heuristic = TRUE,
  direction.vector = NULL,
  weights = NULL
)

`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

matrix with the the predicted score

[Package boostingDEA version 0.1.0 Index]