| as_dea_data | Coerce to a dea_data object |
| chinese_cities | Inputs and outputs of 35 major Chinese cities |
| compute_cross_efficiency | Cross-efficiency and benevolent weights |
| compute_cross_efficiency_weights | Cross-efficiency and benevolent weights |
| compute_efficiency | Compute DEA efficiency scores |
| compute_multiplier_weights | Compute DEA multiplier (weight) solutions |
| compute_som | Fit a self-organizing map to a DEA problem |
| cross-efficiency | Cross-efficiency and benevolent weights |
| dea_data | Create a DEA data object |
| plot_cem_heatmap | Heatmap of a cross-efficiency matrix |
| plot_cem_unfolding | Unfolding map of a cross-efficiency matrix |
| plot_cem_weights_heatmap | Heatmap of secondary-goal multiplier weights |
| plot_efficiency_distributions | Efficiency scores of the DMUs |
| plot_io_3dscatter | Interactive 3-D scatter plot of a DEA problem |
| plot_io_costa_frontier | Costa bi-dimensional efficient frontier |
| plot_io_distributions | Distributions of inputs and outputs |
| plot_io_efficients | Counts of efficient and inefficient DMUs |
| plot_io_heatmap | Heatmap of standardised inputs and outputs |
| plot_io_lambda_network | DEA reference (lambda) network |
| plot_io_mds | MDS co-plot of a DEA problem |
| plot_io_parcoo | Parallel coordinates plot of a DEA problem |
| plot_io_pca_biplot | PCA biplot of a DEA problem |
| plot_io_peer_network | DEA peer (target) network |
| plot_io_radar | Radar plot of inputs and outputs |
| plot_io_scatter | Pairwise scatter plots of inputs, outputs and efficiency scores |
| plot_io_som | Plot a self-organizing map of DEA efficiency |
| plot_io_som_components | Plot the component planes of a DEA self-organizing map |
| plot_panel_io_biplot | Panel PCA biplot with DMU trajectories |
| print.dea_data | Print a DEA data object |
| print.dea_som | Print a fitted DEA self-organizing map |
| standardize_weights | Cross-efficiency and benevolent weights |
| taiwanese_banks | Inputs and outputs of 22 Taiwanese commercial banks, 2009-2011 |