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

On CRAN:

deajackstrapnonparametricoutlier-detection

6 exports 1 stars 0.73 score 53 dependencies 14 scripts 196 downloads

Last updated 4 years agofrom:9a01fb50fa. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:hist_jack_kshist_jack_stepjackstrapjackstrap_ksplot_jackstrap_kssummary_jackstrap

Dependencies:Benchmarkingclicodetoolscolorspacecpp11doParalleldplyrfansifarverfBasicsforeachgenericsggplot2gluegssgtableisobanditeratorslabelinglatticelifecyclelpSolveAPImagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpurrrquadprogR6RColorBrewerRcppreshaperlangscalesspatialstablediststringistringrtibbletidyrtidyselecttimeDatetimeSeriesucminfutf8vctrsviridisLitewithr