Correcting Nonparametric Frontier Measurements for Outliers
Overview
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.
- 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
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.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- 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
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.0Latest2020-06-09 · current release
- RR 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")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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