sfaR: Stochastic Frontier Analysis Routines

Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit) and cost functions. The package includes the basic stochastic frontier for cross-sectional or pooled data with several distributions for the one-sided error term (i.e., Rayleigh, gamma, Weibull, lognormal, uniform, generalized exponential and truncated skewed Laplace), the latent class stochastic frontier model (LCM) as described in Dakpo et al. (2021) <doi:10.1111/1477-9552.12422>, for cross-sectional and pooled data, and the sample selection model as described in Greene (2010) <doi:10.1007/s11123-009-0159-1>, and applied in Dakpo et al. (2021) <doi:10.1111/agec.12683>. Several possibilities in terms of optimization algorithms are proposed.

Version:	1.0.1
Depends:	R (≥ 3.5.0)
Imports:	cubature, fastGHQuad, Formula, marqLevAlg, maxLik, methods, mnorm, nleqslv, plm, qrng, randtoolbox, sandwich, stats, texreg, trustOptim, ucminf
Suggests:	lmtest
Published:	2024-10-29
DOI:	10.32614/CRAN.package.sfaR
Author:	K Hervé Dakpo [aut, cre], Yann Desjeux [aut], Arne Henningsen [aut], Laure Latruffe [aut]
Maintainer:	K Hervé Dakpo <k-herve.dakpo at inrae.fr>
BugReports:	https://github.com/hdakpo/sfaR/issues
License:	GPL (≥ 3)
URL:	https://github.com/hdakpo/sfaR
NeedsCompilation:	no
Language:	en-US
Citation:	sfaR citation info
Materials:	README, NEWS
CRAN checks:	sfaR results

Documentation:

Reference manual:

sfaR.html , sfaR.pdf

Downloads:

Package source:	sfaR_1.0.1.tar.gz
Windows binaries:	r-devel: sfaR_1.0.1.zip, r-release: sfaR_1.0.1.zip, r-oldrel: sfaR_1.0.1.zip
macOS binaries:	r-release (arm64): sfaR_1.0.1.tgz, r-oldrel (arm64): sfaR_1.0.1.tgz, r-release (x86_64): sfaR_1.0.1.tgz, r-oldrel (x86_64): sfaR_1.0.1.tgz
Old sources:	sfaR archive

Reverse dependencies:

Reverse imports:

micEconDistRay

Linking:

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