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sfa: Stochastic Frontier Analysis

Provides a user-friendly framework for estimating a wide variety of cross-sectional and panel stochastic frontier models. Suitable for a broad range of applications, the implementation offers extensive flexibility in specification and estimation techniques.

Version: 1.0.4
Depends: R (≥ 4.4.0)
Imports: devtools, pso, cubature, moments, readxl, haven, fdrtool, numDeriv, gsl, Hmisc, plm, minqa, randtoolbox, matrixStats, frontier, Jmisc, mnormt, truncnorm, tmvtnorm, Formula, methods
Suggests: knitr, MASS, rmarkdown, pracma, testthat
Published: 2026-01-21
DOI: 10.32614/CRAN.package.sfa
Author: David Bernstein ORCID iD [aut, cre], Christopher Parmeter [aut], Alexander Stead [aut]
Maintainer: David Bernstein <davebernstein1 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.davidharrybernstein.com/software
NeedsCompilation: yes
Language: en-US
Citation: sfa citation info
CRAN checks: sfa results

Documentation:

Reference manual: sfa.html , sfa.pdf
Vignettes: introduction to psfm (source, R code)

Downloads:

Package source: sfa_1.0.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): sfa_1.0.4.tgz, r-oldrel (x86_64): sfa_1.0.4.tgz
Old sources: sfa archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sfa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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