# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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) , for cross-sectional and pooled data, and the sample selection model as described in Greene (2010) , and applied in Dakpo et al. (2021) . 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