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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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
jackstrap/json (API)

# 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:

municipalities - Dataset of Municipalities of Bahia state in Brazil

On CRAN:

dea jackstrap nonparametric outlier-detection

3.85 score 1 stars 14 scripts 256 downloads 6 exports 47 dependencies

Last updated from:9a01fb50fa. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	145
source / vignettes	OK	231
linux-release-x86_64	NOTE	203
macos-release-arm64	NOTE	98
macos-oldrel-arm64	NOTE	90
windows-devel	NOTE	93
windows-release	NOTE	107
windows-oldrel	NOTE	87
wasm-release	OK	129

Exports:hist_jack_ks hist_jack_step jackstrap jackstrap_ks plot_jackstrap_ks summary_jackstrap

Dependencies:Benchmarking cli codetools cpp11 doParallel dplyr farver fBasics foreach generics ggplot2 glue gss gtable isoband iterators labeling lifecycle lpSolveAPI magrittr MASS pillar pkgconfig plyr purrr quadprog R6 RColorBrewer Rcpp reshape rlang S7 scales spatial stabledist stringi stringr tibble tidyr tidyselect timeDate timeSeries ucminf utf8 vctrs viridisLite withr

Jackstrap

Including Plots

Rendered fromjackstrap.Rmdusingknitr::rmarkdown

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

Help page	Topics
Histogram with Jackstrap Efficiency Indicators: This function builds graphics with distributions of efficiency indicators without outliers and complete sample. The outliers are defined by K-S Test.	hist_jack_ks
Histogram with Jackstrap Efficiency Indicators: This function builds a graphic with indicator distributions without outliers and complete sample. The outliers are defined by heaviside step function method.	hist_jack_step
Jackstrap Method: Tool identifies outliers in Nonparametric Frontier. This function applies the developed technique by Sousa and Stosic (2005) Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers.	jackstrap
Jackstrap KS Method: Tool identifies outliers in Nonparametric Frontier. This function applies the developed technique by Sousa and Stosic (2005) Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Meansurements for Outliers and to use the K-S test with criterion to define outliers.	jackstrap_ks
Dataset of Municipalities of Bahia state in Brazil	municipalities
Plot Jackstrap KS: This function plots p-value of Kolmogorov-Smirnov Test in decreasing order of leverage.	plot_jackstrap_ks
Summary Jackstrap: This function shows the main outcomes with outlier technique developed by Sousa and Stosic(2005).	summary_jackstrap

Package: jackstrap 0.1.0

jackstrap: Correcting Nonparametric Frontier Measurements for Outliers

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)