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:

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