Package: jackstrap 0.1.0

jackstrap: 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." <doi:10.1007/s11123-005-4702-4>.

Authors:Kleber Morais de Sousa [aut, cre], Maria da Conceicao Sampaio de Sousa [aut], Paulo Aguiar do Monte [aut]

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jackstrap.pdf |jackstrap.html✨
jackstrap/json (API)
NEWS

# Install 'jackstrap' in R:
install.packages('jackstrap', repos = c('https://klebermsousa.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/klebermsousa/jackstrap/issues

Datasets:

On CRAN:

Conda:

deajackstrapnonparametricoutlier-detection

3.85 score 1 stars 14 scripts 125 downloads 6 exports 53 dependencies

Last updated 5 years agofrom:9a01fb50fa. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-winNOTEMar 15 2025
R-4.5-macNOTEMar 15 2025
R-4.5-linuxNOTEMar 15 2025
R-4.4-winNOTEMar 15 2025
R-4.4-macNOTEMar 15 2025
R-4.4-linuxNOTEMar 15 2025
R-4.3-winNOTEMar 15 2025
R-4.3-macNOTEMar 15 2025

Exports:hist_jack_kshist_jack_stepjackstrapjackstrap_ksplot_jackstrap_kssummary_jackstrap

Dependencies:Benchmarkingclicodetoolscolorspacecpp11doParalleldplyrfansifarverfBasicsforeachgenericsggplot2gluegssgtableisobanditeratorslabelinglatticelifecyclelpSolveAPImagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpurrrquadprogR6RColorBrewerRcppreshaperlangscalesspatialstablediststringistringrtibbletidyrtidyselecttimeDatetimeSeriesucminfutf8vctrsviridisLitewithr

Jackstrap

Rendered fromjackstrap.Rmdusingknitr::rmarkdownon Mar 15 2025.

Last update: 2020-05-12
Started: 2020-05-12