# 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/radialbigdata.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).