Package: jackstrap
Type: Package
Title: Correcting Nonparametric Frontier Measurements for Outliers
Version: 0.1.0
Authors@R: c(
    person("Kleber Morais de","Sousa", role = c("aut", "cre"), email = "kleberfinancas@gmail.com"),
    person("Maria da Conceicao Sampaio de", "Sousa", role = c("aut"), email = "csampaiodesousa@gmail.com"),
    person("Paulo Aguiar do", "Monte", role = c("aut"), email = "pauloaguiardomonte@gmail.com")
  )
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@gmail.com>
Description: 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>.
Depends: R (>= 2.15.1)
Imports: fBasics, Benchmarking, dplyr, ggplot2, foreach, doParallel,
        reshape, tidyr, scales, parallel, graphics, plyr, rlang, utils
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2020-06-06 11:46:30 UTC; kleber
Repository: CRAN
Date/Publication: 2020-06-09 15:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 19:15:35 UTC; unix
