Skip to content

Semiparametric Estimation of Stochastic Frontier Models

0packages depend
3.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
67%

Downloads

3.6K
CRAN downloads in the past year
Rank #9,544 · ~10/day · ~296/mo
Daily download trend is not available in this view yet.
33130 days
1K90 days
3.6K1 year
Compare downloads with other packages →
Also on92 r2u3 autocran149 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing semsfa adds 15 packages (9 with compiled code, 13 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB, crs 1.5 MB.

Depends (4)
R >= 3.1.2mgcvnpgamlss
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0 (2015)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2Latest
    record
    2025-04-29 · current release · diff ↗ ·
    added 2 exports
    summary.semsfa, plot.semsfa
  • 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
  • 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
  • 1.1
    record
    2018-04-21 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    record
    2015-02-18
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-02-18
Total releases
3 / 11 yrs
License
GPL
Minimum R
≥ 3.1.2
Download size
8.9 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("semsfa")
Ferrara, G., & Vidoli, F. (2025). semsfa: Semiparametric Estimation of Stochastic Frontier Models (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.semsfa

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 semsfa version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy