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." .


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install.packages("jackstrap")

0.1.0 by Kleber Morais de Sousa, 4 months ago


Browse source code at https://github.com/cran/jackstrap


Authors: Kleber Morais de Sousa [aut, cre] , Maria da Conceicao Sampaio de Sousa [aut] , Paulo Aguiar do Monte [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports fBasics, Benchmarking, dplyr, ggplot2, foreach, doParallel, reshape, tidyr, scales, parallel, graphics, plyr, rlang, utils

Suggests knitr, rmarkdown


See at CRAN