# DataEnvelopmentAnalysis.jl A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA) | Documentation | Build Status | Coverage | |:-------------:|:-----------------:|:-----------:| | [![][docs-stable-img]][docs-stable-url] [![][docs-dev-img]][docs-dev-url] | [![][travis-img]][travis-url] [![][appveyor-img]][appveyor-url] | [![][coveralls-img]][coveralls-url] [![][codecov-img]][codecov-url] | [docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg [docs-stable-url]: https://javierbarbero.github.io/DataEnvelopmentAnalysis.jl/stable [docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg [docs-dev-url]: https://javierbarbero.github.io/DataEnvelopmentAnalysis.jl/dev [travis-img]: https://travis-ci.org/javierbarbero/DataEnvelopmentAnalysis.jl.svg?branch=master [travis-url]: https://travis-ci.org/javierbarbero/DataEnvelopmentAnalysis.jl [appveyor-img]: https://ci.appveyor.com/api/projects/status/ql1ynl90hcixdka7?svg=true [appveyor-url]: https://ci.appveyor.com/project/javierbarbero/dataenvelopmentanalysis-jl [coveralls-img]: https://coveralls.io/repos/github/javierbarbero/DataEnvelopmentAnalysis.jl/badge.svg?branch=master [coveralls-url]: https://coveralls.io/github/javierbarbero/DataEnvelopmentAnalysis.jl?branch=master [codecov-img]: https://codecov.io/gh/javierbarbero/DataEnvelopmentAnalysis.jl/branch/master/graph/badge.svg [codecov-url]: https://codecov.io/gh/javierbarbero/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](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** * Radial input and output oriented model. * Directional distance function model. * Additive models: weighted additive model, measure of inefficiency proportions (MIP), normalized weighted additive model, range adjusted measure (RAM), bounded adjusted measure (BAM). * Generalized distance function model. **Economic efficiency DEA models** * Cost model. * Revenue model. * Profit model. * Profitability model. **Productivity change models** * Mamlmquist index. ## Authors DataEnvelopmentAnalysis.jl is being developed by [Javier Barbero](http://www.javierbarbero.net) and [José Luís Zofío](http://www.joselzofio.net).