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 (>= 3.5.0)
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
Config/pak/sysreqs: libicu-dev
Repository: https://klebermsousa.r-universe.dev
Date/Publication: 2020-06-09 21:41:09 UTC
RemoteUrl: https://github.com/klebermsousa/jackstrap
RemoteRef: HEAD
RemoteSha: 9a01fb50fa007cdbe2c06034c32034d7a38a8ba5
NeedsCompilation: no
Packaged: 2026-07-12 09:32:01 UTC; root