Package: sfaR
Title: Stochastic Frontier Analysis Routines
Version: 1.0.1.9000
Authors@R: c(
    person("K Hervé", "Dakpo", email = "k-herve.dakpo@inrae.fr", role = c("aut", "cre")),
    person("Yann", "Desjeux", role = "aut"),
    person("Arne", "Henningsen", role = "aut"),
    person("Laure", "Latruffe", role = "aut")
  )
Description: 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.
License: GPL (>= 3)
URL: https://github.com/hdakpo/sfaR
BugReports: https://github.com/hdakpo/sfaR/issues
Depends: R (>= 3.5.0)
Imports: cubature, fastGHQuad, Formula, marqLevAlg, maxLik, methods,
        mnorm, nleqslv, plm, qrng, randtoolbox, sandwich, stats,
        texreg, trustOptim, ucminf
Suggests: lmtest
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Config/pak/sysreqs: make texlive libssl-dev
Repository: https://hdakpo.r-universe.dev
Date/Publication: 2026-05-05 09:35:00 UTC
RemoteUrl: https://github.com/hdakpo/sfar
RemoteRef: HEAD
RemoteSha: c16a1a56157ea154585fcb420cba21a74d5a3c88
NeedsCompilation: no
Packaged: 2026-07-04 05:30:47 UTC; root
Author: K Hervé Dakpo [aut, cre],
  Yann Desjeux [aut],
  Arne Henningsen [aut],
  Laure Latruffe [aut]
Maintainer: K Hervé Dakpo <k-herve.dakpo@inrae.fr>