smfa: Stochastic Metafrontier Analysis

Implements stochastic metafrontier analysis for productivity and performance benchmarking across firms operating under different technologies. Contains routines for the deterministic metafrontier envelope of O'Donnell et al. (2008) <doi:10.1007/s00181-007-0119-4> via linear and quadratic programming, and the stochastic metafrontier of Huang et al. (2014) <doi:10.1007/s11123-014-0402-2>. Also supports latent class stochastic metafrontier analysis and sample selection correction stochastic metafrontier models. Depends on the 'sfaR' package by Dakpo et al. (2023) <https://CRAN.R-project.org/package=sfaR>.

Version:	1.0.0
Depends:	R (≥ 3.5.0), sfaR
Imports:	stats
Suggests:	knitr, rmarkdown, pkgdown, lmtest
Published:	2026-04-28
DOI:	10.32614/CRAN.package.smfa
Author:	Sulman Olieko Owili [aut, cre]
Maintainer:	Sulman Olieko Owili <oliekosulman at gmail.com>
BugReports:	https://github.com/SulmanOlieko/smfa/issues
License:	GPL (≥ 3)
URL:	https://github.com/SulmanOlieko/smfa, https://SulmanOlieko.github.io/smfa/
NeedsCompilation:	no
Language:	en-US
Citation:	smfa citation info
Materials:	README, NEWS
CRAN checks:	smfa results

Documentation:

Reference manual:	smfa.html , smfa.pdf
Vignettes:	Extracting Efficiencies and MTRs (source, R code) Getting Started with smfa (source, R code) Standard SFA Metafrontier (groupType = "sfacross") (source, R code) Latent Class SFA Metafrontier (groupType = "sfalcmcross") (source, R code) Sample Selection SFA Metafrontier (groupType = "sfaselectioncross") (source, R code)

Downloads:

Package source:	smfa_1.0.0.tar.gz
Windows binaries:	r-devel: smfa_1.0.0.zip, r-release: smfa_1.0.0.zip, r-oldrel: smfa_1.0.0.zip
macOS binaries:	r-release (arm64): smfa_1.0.0.tgz, r-oldrel (arm64): smfa_1.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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