https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl
Tip revision: 0b9c5e92e48d430ca014a0dcd24001cf1d12f5dc authored by Javier Barbero on 02 October 2019, 22:04:05 UTC
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Add compatibility to project file
Tip revision: 0b9c5e9
index.md
# DataEnvelopmentAnalysis Documentation
DataEnvelopmentAnalysis.jl is a Julia package that provides functions for efficiency and productivity measurement using Data Envelopment Analysis (DEA). Particularly, it implements a variety of technical efficiency models, economic efficiency models and productivity change models.
The package is being developed for Julia `1.0` and above on Linux, macOS, and Windows.
The packes uses internally the [JuMP](https://github.com/JuliaOpt/JuMP.jl) modelling language for mathematicall optimization with solvers [GLPK](http://www.gnu.org/software/glpk/) and [Ipopt](https://coin-or.github.io/Ipopt/).
## Installation
The package can be installed with the Julia package manager:
```julia
julia> using Pkg; Pkg.add("DataEnvelopmentAnalysis.jl")
```
## Available models
Technical efficiency DEA models:
```@contents
Pages = ["technical/radial.md", "technical/directional.md", "technical/additive.md", "technical/generalizeddf.md"]
Depth = 2
```
Economic efficiency DEA models:
```@contents
Pages = ["economic/cost.md", "economic/revenue.md", "economic/profit.md", "economic/profitability.md"]
Depth = 1
```
Productivity change models:
```@contents
Pages = ["productivity/malmquist.md"]
Depth = 1
```
## Authors
DataEnvelopmentAnalysis.jl is being developed by [Javier Barbero](http://www.javierbarbero.net) and [José Luís Zofío](http://www.joselzofio.net).