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qDEA  

Quantile Data Envelopment Analysis
View on CRAN: Click here


Download and install qDEA package within the R console
Install from CRAN:
install.packages("qDEA")

Install from Github:
library("remotes")
install_github("cran/qDEA")

Install by package version:
library("remotes")
install_version("qDEA", "1.0.0")



Attach the package and use:
library("qDEA")
Maintained by
Joe Atwood
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-13
Latest Update: 2026-04-13
Description:
R implementation of Quantile Data Envelopment Analysis. The package 'qDEA' allows a user specified proportion of observations to lie external to a given Decision Making Units's (DMU's)reference hyperplane. 'qDEA' can be used to detect and address influential outliers or to implement quantile benchmarking, as discussed in Atwood and Shaik (2020). Quantile benchmarking is accomplished by using heuristic procedures to find a DMU's closest input-output projection point in a specified direction while allowing a specified proportion of observations to lie external to the projected point's hyperplane. The 'qDEA' package accommodates standard (DEA) and quantile DEA estimation, returns to scale CRS(constant),VRS(variable),DRS(decreasing) or IRS(increasing), the use of directional vectors, bias correction through subsample bootstrapping and subsample size selection procedures. The user can also recover each DMU's reference DMUs and external DMUs if desired. The implemented procedures are based on discussions in: Atwood and Shaik (2020) <doi:10.1016/j.ejor.2020.03.054> Atwood and Shaik (2018) <doi:10.1007/978-3-319-68678-3_4> Walden and Atwood (2023) <doi:10.1086/724932> Walden and Atwood (2025) <doi:10.1086/736554>.
How to cite:
Joe Atwood (2026). qDEA: Quantile Data Envelopment Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/qDEA. Accessed 24 Oct. 2026.
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