Conventional and Fuzzy Data Envelopment Analysis with deaR

TL;DR

The paper introduces deaR, an R package that offers comprehensive tools for conventional and fuzzy data envelopment analysis, including novel models and visualization features, facilitating advanced efficiency analysis.

Contribution

It is the first package to integrate Kao-Liu, Guo-Tanaka, and possibilistic fuzzy models for DEA, enhancing analysis versatility and user options.

Findings

Includes a wide range of DEA models and fuzzy extensions.

Provides novel graphical representations for results.

Supports various returns to scale and variable types.

Abstract

deaR is a recently developed R package for data envelopment analysis (DEA) that implements a large number of conventional and fuzzy models, along with super-efficiency models, cross-efficiency analysis, Malmquist index, bootstrapping, and metafrontier analysis. It should be noted that deaR is the only package to date that incorporates Kao-Liu, Guo-Tanaka and possibilistic fuzzy models. The versatility of the package allows the user to work with different returns to scale and orientations, as well as to consider special features, namely non-controllable, non-discretionary or undesirable variables. Moreover, it includes novel graphical representations that can help the user to display the results. This paper is a comprehensive description of deaR, reviewing all implemented models and giving examples of use.