How elseviersoftwarex/softx-d-25-00164 works
deaR is an R package for conventional and fuzzy Data Envelopment Analysis. Its principal workflow is to obtain DMU data, construct a DEA data object, run a model, then extract and inspect efficiency results. The README documents that sequence and names additional analysis capabilities; source excerpts were unavailable, so links among those additional capabilities are omitted where their wiring is not established.
Main entry points: efficiencies.R Efficiency scores · data Example datasets · model_basic.R Conventional models · modelfuzzy_kaoliu.R Fuzzy models
Components 14
Data preparation
- Example datasets
data - Conventional data
R/make_deadata.R - Fuzzy data
R/make_deadata_fuzzy.R
DEA models
- Conventional models
R/model_basic.R - Fuzzy models
R/modelfuzzy_kaoliu.R - Super-efficiency
R/model_supereff.R
Advanced analyses
- Cross-efficiency
R/cross_efficiency.R - Bootstrapping
R/bootstrap_basic.R - Malmquist index
R/malmquist_index.R - Metafrontier analysis
R
Results and visualization
- Efficiency scores
R/efficiencies.R - Model summaries
R/summary.dea.R - Result plots
R/plot.dea.R
Other components
- R user
Connections 18
- R user → Example datasets: loads data
- R user → Conventional data: constructs data
- R user → Fuzzy data: constructs data
- Example datasets → Conventional data: provides data
- Example datasets → Fuzzy data: provides data
- R user → Conventional models: runs model
- R user → Fuzzy models: runs model
- R user → Super-efficiency: runs model
- R user → Cross-efficiency: runs analysis
- R user → Bootstrapping: runs analysis
- R user → Malmquist index: runs analysis
- R user → Metafrontier analysis: runs analysis
- R user → Efficiency scores: extracts scores
- R user → Model summaries: inspects results
- R user → Result plots: visualizes results
- Conventional models → Efficiency scores: extracts scores
- Fuzzy models → Efficiency scores: extracts scores
- Super-efficiency → Efficiency scores: extracts scores