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>.
Version: 0.1.0 Depends: R (≥ 2.15.1) Imports: fBasics, Benchmarking, dplyr, ggplot2, foreach, doParallel, reshape, tidyr, scales, parallel, graphics, plyr, rlang, utils Suggests: knitr, rmarkdown Published: 2020-06-09 DOI: 10.32614/CRAN.package.jackstrap Author: Kleber Morais de Sousa [aut, cre], Maria da Conceicao Sampaio de Sousa [aut], Paulo Aguiar do Monte [aut] Maintainer: Kleber Morais de Sousa <kleberfinancas at gmail.com> License: GPL-3 NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: jackstrap results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=jackstrap to link to this page.
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