# Benchmark and Frontier Analysis Using DEA and SFA

## Documentation for package ‘Benchmarking’ version 0.31

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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 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