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riksrevisjonen
pioneeR:Productivity and Efficiency Analysis using DEA
Measure productivity and efficiency using Data Envelopment Analysis (DEA). Available methods include DEA under different technology assumptions, bootstrapping of efficiency scores and calculation of the Malmquist productivity index. Analyses can be performed either in the console or with the provided 'shiny' app. See Banker, R.; Charnes, A.; Cooper, W.W. (1984) <doi:10.1287/mnsc.30.9.1078>, Färe, R.; Grosskopf, S. (1996) <doi:10.1007/978-94-009-1816-0>.
Maintained by Ove Haugland Jakobsen. Last updated 5 months ago.
7 stars 5.09 score 5 scriptsfeddelegrand7
farrell:Interactive Interface to Data Envelopment Analysis Modeling
Allows the user to execute interactively radial data envelopment analysis models. The user has the ability to upload a data frame, select the input/output variables, choose the technology assumption to adopt and decide whether to run an input or an output oriented model. When the model is executed a set of results are displayed which include efficiency scores, peers' determination, scale efficiencies' evaluation and slacks' calculation. Fore more information about the theoretical background of the package, please refer to Bogetoft & Otto (2011) <doi:10.1007/978-1-4419-7961-2>.
Maintained by Mohamed El Fodil Ihaddaden. Last updated 4 years ago.
data-envelopment-analysisdeashiny
8 stars 4.60 score 6 scriptsklebermsousa
jackstrap:Correcting Nonparametric Frontier Measurements for Outliers
Provides method used to check whether data have outlier in efficiency measurement of big samples with data envelopment analysis (DEA). In this jackstrap method, the package provides two criteria to define outliers: heaviside and k-s test. The technique was developed by Sousa and Stosic (2005) "Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers." <doi:10.1007/s11123-005-4702-4>.
Maintained by Kleber Morais de Sousa. Last updated 5 years ago.
deajackstrapnonparametricoutlier-detection
1 stars 3.85 score 14 scripts