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jackstrap

0.1.0Package record

Correcting Nonparametric Frontier Measurements for Outliers

0packages depend
2.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • This is the first version of the package Jackstrap.

First version

NEWS.md setup

  • added NEWS.md creation with newsmd

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘fBasics’ ‘reshape’ ‘tidyr’ ‘utils’
All declared Imports should be used.
Additional issues

CRAN check page ↗

Slowest check: 2.3 min · r-release-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 133 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
0%7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.4K
CRAN downloads in the past year
Rank #18,427 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
31530 days
69990 days
2.4K1 year
Compare downloads with other packages →
Also on75 r2u6 autocran

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing jackstrap adds 44 packages (23 with compiled code, 35 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 2.15.1
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2020)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0Latest
    2020-06-09 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-09
Total releases
1 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 2.15.1
Bundled data
36 KB / 1 file
Download size
165 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("jackstrap")
Sousa, K. M. d., Monte, P. A. d., & Sousa, M. d. C. S. d. (2020). jackstrap: Correcting Nonparametric Frontier Measurements for Outliers (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.jackstrap

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for jackstrap version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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