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Nonparametric and Stochastic Efficiency and Productivity Analysis

1packages depend
3.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Nonparametric efficiency measurement and statistical inference via DEA type estimators (see Färe, Grosskopf, and Lovell (1994) doi:10.1017/CBO9780511551710, Kneip, Simar, and Wilson (2008) doi:10.1017/S0266466608080651 and Badunenko and Mozharovskyi (2020) doi:10.1080/01605682.2019.1599778) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see Kumbhakar and Lovell (2003) doi:10.1017/CBO9781139174411, Badunenko and Kumbhakar (2016) doi:10.1016/j.ejor.2016.04.049). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Oleg Badunenko <oleg.badunenko@brunel.ac.uk>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Oleg",
                      family = "Badunenko",
                      role = c("aut", "cre"),
                      email = "oleg.badunenko@brunel.ac.uk"),
               person(given = "Pavlo",
                      family = "Mozharovskyi",
                      role = "aut"),
               person(given = "Yaryna",
                      family = "Kolomiytseva",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 3.2 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE10 OK, 4 NOTE2026-04-22
  • ERROR9 OK, 4 NOTE, 1 ERROR2026-04-18
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.8.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
22includes a package overview page
Examples that run
69%11 run in a plain check · 5 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
64%

Downloads

3.9K
CRAN downloads in the past year
Rank #9,354 · ~11/day · ~323/mo
Daily download trend is not available in this view yet.
40730 days
1.1K90 days
3.9K1 year
Compare downloads with other packages →
Also on357 r2u5 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing npsf adds 2 packages (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, Formula 46 KB.

Depends (1)
Imports (0)
none
LinkingTo (1)
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (from the free-text Author field) (3)
Author, Maintainer since 0.1.4 (2015)
Releases (15)

Pick two releases to compare their code metrics.

  • 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
  • 0.8.0Latest
    record
    2020-11-22 · current release · diff ↗
  • 0.7.1
    record
    2020-06-24 · diff ↗
  • 0.7.0
    record
    2020-06-13 · diff ↗ ·
    added 3 exports
    halton, primes, rescale
  • 0.6.0
    record
    2020-05-20 · diff ↗ ·
    added 1 export
    tenonradialbc
  • R
    R 4.0.0 released · 2020-04-24
  • 0.5.2
    record
    2019-09-08 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.5.1
    record
    2019-04-12 · diff ↗
  • 0.4.2
    record
    2019-01-02 · diff ↗
  • 0.4.1
    record
    2018-07-19 · diff ↗
Show 11 earlier eventsHide 11 earlier events

Package metadata

First published
2015-09-20
Total releases
15 / 11 yrs
License
GPL-2 OSI
Bundled data
486 KB / 7 files
Download size
949 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("npsf")

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 npsf version 0.8.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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