psdea: Data Envelopment Analysis with User-Defined and Learned
Reference Sets
Slacks-based data envelopment analysis for panel data in which the
reference set is an explicit argument. A user-supplied weight matrix, or a
matrix learned from the data by penalised non-negative reconstruction,
selects the units that may enter each decision-making unit's frontier. The
package reports the unrestricted and the restricted score, the ratio of the
two and an exact decomposition of the shortfall into the part the restricted
technology can remove and the part it cannot. Moran's I and local
indicators of spatial association are provided as diagnostics. All linear
programs are solved by a two-phase simplex with Bland's rule implemented in
R, so the package needs no compiler.
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