Alternate DEA Package
Selection of an optimal subset of variables for DEA analysis
Search for leverage units (DMU's) with a greater impact on load levels...
Compute the variables loads for DEA analysis with specified weights
Selection of an optimal subset of variables for DEA analysis
Standarize input and output
Select an optimal subset of variables for DEA analysis
Data Envelopment Analysis: Variable Selection, Constrained ADEA and Le...
ADEA analysis to variable selection in DEA
Build fsdea problem
Make a constrained ADEA analysis
A data set about car dealers, 1 of 4, to be used in DEA
A data set about cardealers, 2 of 4, to be used in DEA
A data set about car dealers, 3 of 4, to be used in DEA
A data set about car dealers, 4 of 4, to be used in DEA
DEA - Data Envelopment Analysis
Compute efficiencies for (standard) DEA model
Feature Selection in Data Envelopment Analysis with Mathematical Progr...
Build adea problem
Build dea problem
ADEA plot of standarized virtual input and virtual output
Print method for adea class
Print method for adeahierarchical class
Print method for adealoadleverage class
Print method for adeaparametric class
Print method for adeastepwise class
Print method for cadea class
Print method for dea class
Print method for fsdea class
Build adea problem
Build adea problem
Build (standard) DEA problem using ROI infraestructure
Build (standard) DEA problem using ROI infraestructure
Build adea problem
Build (standard) DEA problem using ROI infraestructure
Build fsdea problem
summary method for adea class
Summary method for adeahierarchical class
Summary method for adeaparametric class
Summary method for adeastepwise class
summary method for cadea class
summary method for dea class
summary method for fsdea class
A data set of Tokyo libraries
Compute virtual input and output for (standard) DEA model
The meaning of adea is "alternate DEA". This package is devoted to provide the alternative method of DEA described in the paper entitled "Stepwise Selection of Variables in DEA Using Contribution Load", by F. Fernandez-Palacin, M. A. Lopez-Sanchez and M. Munoz-Marquez. Pesquisa Operacional 38 (1), pg. 1-24, 2018. <doi:10.1590/0101-7438.2018.038.01.0031>. A full functional on-line and interactive version is available at <https://knuth.uca.es/shiny/DEA/>.