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| Benchmarking-package | Data Envelopment Analyses (DEA) and Stochastic Frontier Analyses (SFA) - Model Estimations and Efficiency Measuring |
| Benchmarking | Data Envelopment Analyses (DEA) and Stochastic Frontier Analyses (SFA) - Model Estimations and Efficiency Measuring |
| boot.fear | Bootstrap DEA models |
| charnes1981 | Data: Charnes et al. (1981): Program follow through |
| coef.sfa | Stochastic frontier estimation |
| cost.opt | DEA optimal cost, revenue, and profit |
| critValue | Critical values from bootstrapped DEA models |
| dea | DEA efficiency |
| dea.add | Additive DEA model |
| 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 |
| dea.plot.frontier | Plot of DEA technologies |
| dea.plot.isoquant | Plot of DEA technologies |
| dea.plot.transform | Plot of DEA technologies |
| eff | Calculate efficiencies for Farrell and sfa object |
| eff.dens | Estimate and plot density of efficiencies |
| eff.dens.plot | Estimate and plot density of efficiencies |
| eff.Farrell | Calculate efficiencies for Farrell and sfa object |
| eff.sfa | Calculate efficiencies for Farrell and sfa object |
| efficiencies | Calculate efficiencies for Farrell and sfa object |
| efficiencies.default | Calculate efficiencies for Farrell and sfa object |
| efficiencies.Farrell | Calculate efficiencies for Farrell and sfa object |
| efficiencies.sfa | Calculate efficiencies for Farrell and sfa object |
| eladder | Efficiency ladder for a single firm |
| eladder.plot | Efficiency ladder for a single firm |
| excess | Excess input compared over frontier input |
| get.number.peers | Find peer firms and units |
| get.peers.lambda | Find peer firms and units |
| get.which.peers | Find peer firms and units |
| lambda | Lambdas or the weight of the peers |
| lambda.print | Lambdas or the weight of the peers |
| lambda.sfa | Stochastic frontier estimation |
| logLik.sfa | Stochastic frontier estimation |
| make.merge | Make an aggregation matrix to perform mergers |
| malmq | Malmquist index |
| malmquist | Malmquist index for fimrs in a panel |
| mea | MEA multi-directional efficiency analysis |
| mea.lines | MEA multi-directional efficiency analysis |
| milkProd | Data: Milk producers |
| norWood2004 | Data: Forestry in Norway |
| outlier.ap | Detection of outliers in benchmark models |
| outlier.ap.plot | Detection of outliers in benchmark models |
| peers | Find peer firms and units |
| pigdata | Data: Multi-output pig producers |
| print.cost.opt | DEA optimal cost, revenue, and profit |
| print.Farrell | DEA efficiency |
| print.profit.opt | DEA optimal cost, revenue, and profit |
| print.revenue.opt | DEA optimal cost, revenue, and profit |
| print.sfa | Stochastic frontier estimation |
| print.slack | Calculate slack in an efficiency analysis |
| profit.opt | DEA optimal cost, revenue, and profit |
| projekt | Data: Milk producers |
| residuals.sfa | Stochastic frontier estimation |
| revenue.opt | DEA optimal cost, revenue, and profit |
| sdea | Super efficiency |
| sfa | Stochastic frontier estimation |
| sfa.cost | Stochastic frontier estimation |
| sigma2.sfa | Stochastic frontier estimation |
| sigma2u.sfa | Stochastic frontier estimation |
| sigma2v.sfa | Stochastic frontier estimation |
| slack | Calculate slack in an efficiency analysis |
| summary.cost.opt | DEA optimal cost, revenue, and profit |
| summary.Farrell | DEA efficiency |
| summary.profit.opt | DEA optimal cost, revenue, and profit |
| summary.revenue.opt | DEA optimal cost, revenue, and profit |
| summary.sfa | Stochastic frontier estimation |
| summary.slack | Calculate slack in an efficiency analysis |
| te.add.sfa | Stochastic frontier estimation |
| te.sfa | Stochastic frontier estimation |
| teBC.sfa | Stochastic frontier estimation |
| teJ.sfa | Stochastic frontier estimation |
| teMode.sfa | Stochastic frontier estimation |
| typeIerror | Probability of type I error for test in a bootstrap DEA model |