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DESCRIPTION
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DESCRIPTION
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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