https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl
Tip revision: 5eb588ce29e6486e98174cbb0371d3bf4d95597c authored by Javier Barbero on 18 September 2021, 14:51:16 UTC
Fix issues in lambda matrix and model without slacks
Fix issues in lambda matrix and model without slacks
Tip revision: 5eb588c
index.md
# DataEnvelopmentAnalysis.jl
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](https://github.com/jump-dev/GLPK.jl) and [Ipopt](https://github.com/jump-dev/Ipopt.jl).
## Installation
The package can be installed with the Julia package manager:
```julia
julia> using Pkg; Pkg.add("DataEnvelopmentAnalysis")
```
## Tutorial
For a tutorial on how to use the package, check the documentation on the [Radial Input Oriented Model](@ref).
## Available models
Technical efficiency DEA models:
```@contents
Pages = ["technical/radial.md", "technical/directional.md", "technical/additive.md", "technical/generalizeddf.md", "technical/russell.md", "technical/enhancedrussell.md", "technical/modifiedddf.md", "technical/holder.md", "technical/reverseddf.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).