Package: copulaSFM
Type: Package
Title: Copula-Based Stochastic Frontier Models
Version: 0.2.0
Authors@R: c(
  person("Woraphon", "Yamaka",
         email = "woraphon.econ@gmail.com",
         role = c("aut", "cre")),
  person("Paravee", "Maneejuk",
         email = "mparavee@gmail.com",
         role = "aut"),
  person("Nuttaphong", "Kaewtathip",
         email = "jetcnx@gmail.com",
         role = "aut"))
Description: Provides estimation procedures for copula-based stochastic frontier
  models for cross-sectional data. The package implements maximum likelihood
  estimation of stochastic frontier models allowing flexible dependence
  structures between inefficiency and noise terms through various copula
  families (e.g., Gaussian and Student-t). It enables estimation of technical
  efficiency scores, log-likelihood values, and information criteria (AIC and
  BIC). The implemented framework builds upon stochastic frontier analysis
  introduced by Aigner, Lovell and Schmidt (1977) <doi:10.1016/0304-4076(77)90052-5>
  and the copula theory described in Joe (2014, ISBN:9781466583221).
  Empirical applications of copula-based stochastic frontier models can be
  found in Wiboonpongse et al. (2015) <doi:10.1016/j.ijar.2015.06.001> and
  Maneejuk et al. (2017, ISBN:9783319562176).
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: stats, graphics, truncnorm, VineCopula, MASS
NeedsCompilation: no
Packaged: 2026-03-05 03:58:06 UTC; Acer
Author: Woraphon Yamaka [aut, cre],
  Paravee Maneejuk [aut],
  Nuttaphong Kaewtathip [aut]
Maintainer: Woraphon Yamaka <woraphon.econ@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-05 04:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 10:35:20 UTC; unix
