Data Envelopment Analysis with User-Defined and Learned
Reference Sets
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Documentation for package ‘psdea’ version 1.0.0
Help Pages
| psdea-package | Data Envelopment Analysis with User-Defined and Learned Reference Sets |
| print.psdea | Efficiency against an unrestricted and a restricted frontier |
| psdea | Data Envelopment Analysis with User-Defined and Learned Reference Sets |
| psdea_china_energy | Provincial panel of China, 2003-2024 |
| psdea_learn | Learn the reference set from the data |
| psdea_learn_data | Learn the reference set from the data |
| psdea_lisa | Spatial autocorrelation diagnostics |
| psdea_lp | Two-phase revised simplex |
| psdea_moran | Spatial autocorrelation diagnostics |
| psdea_panel | Efficiency against an unrestricted and a restricted frontier |
| psdea_sbm | Slacks-based measure for one cross-section |
| psdea_spw | Build a weight matrix |
| psdea_spw_read | Build a weight matrix |
| psdea_w_contiguity | Spatial weight matrices for the Chinese provinces |
| psdea_w_distance | Spatial weight matrices for the Chinese provinces |
| psdea_w_knn4 | Spatial weight matrices for the Chinese provinces |
| summary.psdea | Efficiency against an unrestricted and a restricted frontier |