deaR (version 1.2.1)

model_rdm: Range directional model.

Description

Range directional model from Portela et al. (2004).

Usage

model_rdm(datadea,
            dmu_eval = NULL,
            dmu_ref = NULL,
            orientation = c("no", "io", "oo"),
            irdm = FALSE,
            maxslack = TRUE,
            weight_slack_i = 1,
            weight_slack_o = 1,
            compute_target = TRUE,
            returnlp = FALSE,
            ...)

Arguments

datadea

The data, including n DMUs, m inputs and s outputs.

dmu_eval

A numeric vector containing which DMUs have to be evaluated. If NULL (default), all DMUs are considered.

dmu_ref

A numeric vector containing which DMUs are the evaluation reference set. If NULL (default), all DMUs are considered.

orientation

A string, equal to "no" (non-oriented), "io" (input oriented), or "oo" (output oriented).

irdm

Logical. If it is TRUE, it applies the IRDM (inverse range directional model).

maxslack

Logical. If it is TRUE, it computes the max slack solution.

weight_slack_i

A value, vector of length m, or matrix m x ne (where ne is the lenght of dmu_eval) with the weights of the input slacks for the max slack solution.

weight_slack_o

A value, vector of length s, or matrix s x ne (where ne is the lenght of dmu_eval) with the weights of the output slacks for the max slack solution.

compute_target

Logical. If it is TRUE, it computes targets of the max slack solution.

returnlp

Logical. If it is TRUE, it returns the linear problems (objective function and constraints) of stage 1.

...

Ignored, for compatibility issues.

References

Portela, M.; Thanassoulis, E.; Simpson, G. (2004). "Negative data in DEA: a directional distance approach applied to bank branches", Journal of the Operational Research Society, 55 1111-1121.