Man pages for Benchmarking
Benchmark and Frontier Analysis Using DEA and SFA
| addModel | Additive DEA model |
| Benchmarking-package | Data Envelopment Analyses (DEA) and Stochastic Frontier... |
| charnes1981 | Data: Charnes et al. (1981): Program follow through |
| cost.opt | DEA optimal cost, revenue, and profit |
| critValue | Critical values from bootstrapped DEA models |
| dea | DEA efficiency |
| dea.boot | Bootstrap DEA models |
| dea.direct | Directional efficiency |
| dea.dual | Dual DEA models and assurance regions |
| dea.merge | Estimate potential merger gains and their decompositions |
| dea.plot | Plot of DEA technologies |
| eff | Calculate efficiencies for Farrell and sfa object |
| eff.dens | Estimate and plot density of efficiencies |
| eladder | Efficiency ladder for a single firm |
| excess | Excess input compared over frontier input |
| lambda | Lambdas or the weight of the peers |
| make.merge | Make an aggregation matrix to perform mergers |
| malmq | Malmquist index |
| malmquist | Malmquist index for firms in a panel |
| mea | MEA multi-directional efficiency analysis |
| milkProd | Data: Milk producers |
| norWood2004 | Data: Forestry in Norway |
| outlier | Detection of outliers in benchmark models |
| peers | Find peer firms and units |
| pigdata | Data: Multi-output pig producers |
| projekt | Data: Milk producers |
| sdea | Super efficiency |
| sfa | Stochastic frontier estimation |
| slack | Calculate slack in an efficiency analysis |
| stoned | Convex nonparametric least squares |
| typeIerror | Probability of type I error for test in a bootstrap DEA model |
