Description Usage Arguments Details Value Author(s) References See Also Examples

Solve input-oriented DEA under the CRS

1 2 |

`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 be used in constructing 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). |

`intinput` |
The number of integer inputs. |

`orientation` |
Orientation of measurement. 1 for the input-oriented measure, and 2 for the output-oriented measure. This argument is ignored. |

`epsilon` |
Non-Armechidean number. Use the default value. |

The input-oriented IDEA under the CRS assumption is calcualted. See Kuosmanen and Matin (2009).

A data frame of J1*(1+J1+N+M+Q+Q), which shows efficiency scores, optimal weightes, optimal slacks for outputs and inputs, optiaml slacks for integer-valued inputs, and optimal integer inputs.

Dong-hyun Oh, [email protected]

Kuomanen, T. and Matin, R. (2009). Theory of integer-valued data
envelopment analysis. *European Journal of Operational Research*
192(2):658-667

Lee, J. and Oh, D. (forthcoming). *Efficiency Analysis: Data
Envelopment Analysis*. Press (in Korean).

1 2 3 4 | ```
int.dat <- data.frame(y = c(1, 1, 1, 1, 1),
x1 = c(2, 7, 3, 7, 9),
x2 = c(4, 1, 4, 2, 4))
int.dea(int.dat, noutput = 1, intinput = 1)
``` |

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