Package: sfaR
Title: Stochastic Frontier Analysis Routines
Version: 1.0.0
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
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-07-04 10:01:46 UTC; Dakpo
Author: K Hervé Dakpo [aut, cre],
  Yann Desjeux [aut],
  Arne Henningsen [aut],
  Laure Latruffe [aut]
Maintainer: K Hervé Dakpo <k-herve.dakpo@inrae.fr>
Repository: CRAN
Date/Publication: 2023-07-04 11:30:02 UTC
Built: R 4.2.3; ; 2024-04-24 01:52:03 UTC; windows
