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boostingDEA
View on CRAN: Click
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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]
[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 31 Jan. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for boostingDEA
Functions, R codes and Examples using
the boostingDEA R package
Some associated functions: AddBF . BBC_in . BBC_out . CobbDouglas . CreateBF . CreateCubicBF . DDF . DEA . EAT . EATBoost . EAT_object . ERG . EstimCoeffsForward . FDH . MARSAdapted . MARSAdaptedSmooth . MARSAdapted_object . MARSBoost . Russell_in . Russell_out . WAM . banks . bestEATBoost . bestMARSBoost . comparePareto . deepEAT . efficiency . estimEAT . get.a.EATBoost . get.a.trees . get.b.trees . get.intersection.a . isFinalNode . mse . mse_tree . posIdNode . preProcess . predict.DEA . predict.EAT . predict.EATBoost . predict.FDH . predict.MARSAdapted . predict.MARSBoost . predictor . split .
Some associated R codes: DEA.R . EAT.R . EATBoost.R . FDH.R . ForwardAlgorithm.R . MARSAdapted.R . MARSBoost.R . PreProcessing.R . Predictions.R . Simulations.R . Smooth.R . data.R . efficiency.R . efficiencyModels.R . predictorEAT.R . splitEAT.R . tuningModel.R . Full boostingDEA package functions and examples
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