Range directional model from Portela et al. (2004).
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,
...)A deadata object, including n DMUs, m inputs and s outputs.
A numeric vector containing which DMUs have to be evaluated.
If NULL (default), all DMUs are considered.
A numeric vector containing which DMUs are the evaluation reference set.
If NULL (default), all DMUs are considered.
A string, equal to "no" (non-oriented), "io" (input oriented), or "oo" (output oriented).
Logical. If it is TRUE, it applies the IRDM (inverse range
directional model).
Logical. If it is TRUE, it computes the max slack solution.
A value, vector of length m, or matrix m x
ne (where ne is the length of dmu_eval) with the weights
of the input slacks for the max slack solution.
A value, vector of length s, or matrix s x
ne (where ne is the length of dmu_eval) with the weights
of the output slacks for the max slack solution.
Logical. If it is TRUE, it computes targets of the
max slack solution.
Logical. If it is TRUE, it returns the linear problems
(objective function and constraints) of stage 1.
Ignored, for compatibility issues.
Vicente Coll-Serrano (vicente.coll@uv.es). Quantitative Methods for Measuring Culture (MC2). Applied Economics.
Vicente Bolós (vicente.bolos@uv.es). Department of Business Mathematics
Rafael Benítez (rafael.suarez@uv.es). Department of Business Mathematics
University of Valencia (Spain)
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.