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 |
eladder2 |
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 firms 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 |
outlierC.ap |
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 |
stoned |
Convex nonparametric least squares |
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 |