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: 1.1.5
Depends: R (≥ 4.0.0)
Imports: pso, numDeriv, gsl, plm, minqa, randtoolbox, mnormt, truncnorm, tmvtnorm, Formula, methods, pbapply, pracma, MASS, parallel, graphics, grDevices
Suggests: knitr, rmarkdown, testthat, sn, np, Benchmarking
Published: 2026-08-23
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>
BugReports: https://github.com/davidhbernstein/sfa/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.davidharrybernstein.com/software, https://github.com/davidhbernstein/sfa
NeedsCompilation: no
Language: en-US
Citation: sfa citation info
Materials: README, NEWS
CRAN checks: sfa results

Documentation:

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

Downloads:

Package source: sfa_1.1.5.tar.gz
Windows binaries: r-devel: sfa_1.0.4.zip, r-release: sfa_1.0.4.zip, r-oldrel: sfa_1.1.5.zip
macOS binaries: r-release (arm64): sfa_1.1.5.tgz, r-oldrel (arm64): sfa_1.1.5.tgz, r-release (x86_64): sfa_1.1.5.tgz, r-oldrel (x86_64): sfa_1.1.5.tgz
Old sources: sfa archive

Linking:

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