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." .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Kleber Morais de Sousa, a year ago

Browse source code at

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