sbm.vrs | R Documentation |
Solve Slacks-based Model under the VRS (Tone, 2001)
sbm.vrs(base= NULL, frontier = NULL, noutput = 1)
base |
A data set for DMUs to be evaluated. A data frame with J1*(M+N) dimention, where J1 is the number of DMUs, M for the number of inputs, and N for the number of outputs. |
frontier |
A data set for DMUs to construct a production possibility set (PPS). A data frame with J2*(M+N) dimention, where J2 is the number of DMUs, M for the number of inputs, and N for the number of outputs. |
noutput |
The number of outputs (N). |
The SBM under the VRS assumption is calculated. See Tone (2001).
A data frame with (1+J1+M+N), which shows efficiency scores, optimal weights, and optiaml input and output slacks.
Dong-hyun Oh, oh.donghyun77@gmail.com
Cooper, W., Seiford, L. and Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Springer Verlag, New York.
Lee, J. and Oh, D. (forthcoming). Efficiency Analysis: Data Envelopment Analysis. Press (in Korean).
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3):498-509.
sbm.tone
tab7.6.dat <- data.frame(y = c(1, 1, 1, 1, 1, 1), x1 = c(1, 3, 6, 2, 5, 9), x2 = c(4, 1, 1, 8, 5, 2)) (re <- sbm.vrs(tab7.6.dat, noutput = 1))
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