Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 23 found.
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slack (Package: Benchmarking) :

Slacks are calculated after taking the efficiency into consideration.
● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: print.slack, slack, summary.slack
1 images

mea (Package: Benchmarking) : MEA multi-directional efficiency analysis

Potential improvements PI or multi-directional efficiency analysis. The result is an exces value measures by the direction.
● Data Source: CranContrib
● Keywords: efficiency, models
● Alias: mea, mea.lines
1 images

dea (Package: Benchmarking) : DEA efficiency

Estimates a DEA frontier and calculates efficiency measures a la Farrell.
● Data Source: CranContrib
● Keywords: efficiency, models
● Alias: dea
1 images

eff, efficiencies (Package: Benchmarking) : Calculate efficiencies for Farrell and sfa object

Calculate efficiencies for Farrell and sfa object. For a sfa there are several types
● Data Source: CranContrib
● Keywords: efficiency
● Alias: eff, eff.Farrell, eff.sfa, efficiencies, efficiencies.Farrell, efficiencies.default, efficiencies.sfa
● 0 images

make.merge (Package: Benchmarking) : Make an aggregation matrix to perform mergers

Make an aggregation matrix to perform mergers of firms. The matrix can be post multiplied (matrix multiplication) to input and output matrices to make merged input and output matrices.
● Data Source: CranContrib
● Keywords:
● Alias: make.merge
● 0 images

dea.boot (Package: Benchmarking) : Bootstrap DEA models

The function dea.boot bootstrap DEA models and returns bootstrap of Farrell efficiencies. This function is slower than the boot.sw89 from the package FEAR. The faster function boot.fear is a wrapper for boot.sw89 from the package FEAR returning results directly as Farrell measures.
● Data Source: CranContrib
● Keywords: bootstrap, efficiencies
● Alias: boot.fear, dea.boot
1 images

peers (Package: Benchmarking) :

The function peers finds for each firm its peers, get.number.peers finds for each peer the number of times this peer apears as a peer, and get.which.peers determines for one or more peers the firms they apear as peers for.
● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: get.number.peers, get.which.peers, peers
● 0 images

eff.dens (Package: Benchmarking) :

A method to estimate and plot kernel estimate of (Farrell) efficiencies taken into consideration that efficiencies are bounded either above (input direction) or below (output direction).
● Data Source: CranContrib
● Keywords:
● Alias: eff.dens, eff.dens.plot
2 images

dea.plot (Package: Benchmarking) : Plot of DEA technologies

Draw a graph of a DEA technology. Designed for two goods illustrations, either isoquant (2 inputs), transformation curve (2 outputs), or a production function (1 input and 1 output). If the number of good is larger than 2 then aggregation occur, either simple or weighted.
● Data Source: CranContrib
● Keywords: models, plot
● Alias: dea.plot, dea.plot.frontier, dea.plot.isoquant, dea.plot.transform
7 images

lambda (Package: Benchmarking) : Lambdas or the weight of the peers

The lambdas, i.e. the weight of the peers, for each firm.
● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: lambda, lambda.print
● 0 images