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rcDEA  

Robust and Conditional Data Envelopment Analysis (DEA)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rcDEA", "1.0")



Attach the package and use:
library("rcDEA")
Maintained by
Anna Mergoni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-14
Latest Update: 2021-12-14
Description:
With this package we provide an easy method to compute robust and conditional Data Envelopment Analysis (DEA), Free Disposal Hull (FDH) and Benefit of the Doubt (BOD) scores. The robust approach is based on the work of Cazals, Florens and Simar (2002) . The conditional approach is based on Daraio and Simar (2007) . Besides we provide graphs to help with the choice of m. We relay on the 'Benchmarking' package to compute the efficiency scores and on the 'np' package to compute non parametric estimation of similarity among units.
How to cite:
Anna Mergoni (2021). rcDEA: Robust and Conditional Data Envelopment Analysis (DEA). R package version 1.0, https://cran.r-project.org/web/packages/rcDEA. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Complete documentation for rcDEA
Functions, R codes and Examples using the rcDEA R package
Some associated functions: conditional_BOD . conditional_DEA . graph1_m_BOD . graph1_m_DEA . graph2_m_BOD . graph2_m_DEA . robust_BOD . robust_DEA . 
Some associated R codes: conditional_BOD.R . conditional_DEA.R . graph1_m_BOD.R . graph1_m_DEA.R . graph2_m_BOD.R . graph2_m_DEA.R . robust_BOD.R . robust_DEA.R .  Full rcDEA package functions and examples
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