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ssfa

1.2.3

Spatial Stochastic Frontier Analysis

0packages depend
4.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Elisa FuscoFirst published 2015-05-186 releasesCRAN page ↗

Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
5
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
62%

Downloads

4.2K
CRAN downloads in the past year
Rank #10,971 · ~11/day · ~347/mo
Daily download trend is not available in this view yet.
25130 days
89090 days
4.2K1 year
Compare downloads with other packages →
Also on139 r2u19 autocran103 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (5)
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.3Latest
    2025-07-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.2
    2023-08-28 · diff ↗
  • 1.2.1
    2023-08-07 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2
    2022-01-05 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.1
    2015-06-10 · diff ↗
Show 2 earlier events
  • 1.0
    2015-05-18
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-05-18
Total releases
6 / 11 yrs
License
GPL-3 OSI
Bundled data
4.2 KB / 2 files
Download size
2.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ssfa")
Fusco, E., & Vidoli, F. (2025). ssfa: Spatial Stochastic Frontier Analysis (Version 1.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.ssfa

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ssfa version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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