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boostingDEA  

A Boosting Approach to Data Envelopment Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("boostingDEA", "0.1.0")



Attach the package and use:
library("boostingDEA")
Maintained by
Maria D. Guillen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-15
Latest Update: 2023-05-15
Description:
Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 ) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).
How to cite:
Maria D. Guillen (2023). boostingDEA: A Boosting Approach to Data Envelopment Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/boostingDEA. Accessed 06 Jun. 2026.
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