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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sfaR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'sfaR: Stochastic Frontier Analysis Routines'
version: 1.0.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.sfaR
abstract: 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) <https://doi.org/10.1111/1477-9552.12422>, for
  cross-sectional and pooled data, and the sample selection model as described in
  Greene (2010) <https://doi.org/10.1007/s11123-009-0159-1>, and applied in Dakpo
  et al. (2021) <https://doi.org/10.1111/agec.12683>. Several possibilities in terms
  of optimization algorithms are proposed.
authors:
- family-names: Dakpo
  given-names: K Hervé
  email: k-herve.dakpo@inrae.fr
- family-names: Desjeux
  given-names: Yann
- family-names: Henningsen
  given-names: Arne
- family-names: Latruffe
  given-names: Laure
preferred-citation:
  type: manual
  title: 'sfaR: Stochastic Frontier Analysis Routines.'
  authors:
  - family-names: Dakpo
    given-names: K Hervé
    email: k-herve.dakpo@inrae.fr
  - family-names: Desjeux
    given-names: Yann
  - family-names: Henningsen
    given-names: Arne
  - family-names: Latruffe
    given-names: Laure
  year: '2024'
  notes: R package version 1.0.1
  url: https://CRAN.R-project.org/package=sfaR/
repository: https://CRAN.R-project.org/package=sfaR
repository-code: https://github.com/hdakpo/sfaR
url: https://github.com/hdakpo/sfaR
date-released: '2024-10-29'
contact:
- family-names: Dakpo
  given-names: K Hervé
  email: k-herve.dakpo@inrae.fr