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# CITATION.cff 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 "spscsfa" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'spscsfa: Semiparametric Smooth-Coefficient Stochastic Frontier Analysis'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.spscsfa
abstract: Provides semiparametric smooth-coefficient stochastic frontier analysis
  following Sun and Kumbhakar (2013) <https://doi.org/10.1016/j.econlet.2013.05.001>
  where the coefficients of the parametric part vary smoothly with a set of nonparametric
  variables. Inefficiency term is allowed to depend on a set of determinants through
  heteroskedasticity. Smooth coefficients are estimated using nonparametric regression
  and the remaining frontier parameters are estimated by maximum likelihood. Technical
  efficiency and inefficiency are computed using the Battese and Coelli (1988) <https://doi.org/10.1016/0304-4076(88)90053-X>
  and Jondrow et al. (1982) <https://doi.org/10.1016/0304-4076(82)90004-5> methods,
  respectively. Confidence intervals for technical efficiency are computed using the
  approach of Horrace and Schmidt (1996) <https://doi.org/10.1007/BF00157044>.
authors:
- family-names: Sun
  given-names: Kai
  email: ksun1@shu.edu.cn
preferred-citation:
  type: manual
  title: 'spscsfa: Semiparametric Smooth-Coefficient Stochastic Frontier Analysis'
  authors:
  - family-names: Sun
    given-names: Kai
    email: ksun1@shu.edu.cn
  year: '2026'
  notes: R package version 0.1.0
  url: https://CRAN.R-project.org/package=spscsfa
repository: https://kaisun84.r-universe.dev
commit: 93adf5b2006608a89d34c9060881b17af5156b50
date-released: '2026-09-29'
contact:
- family-names: Sun
  given-names: Kai
  email: ksun1@shu.edu.cn