Package: spscsfa
Title: Semiparametric Smooth-Coefficient Stochastic Frontier Analysis
Version: 0.1.0
Authors@R: person(given = "Kai", family = "Sun", role = c("aut", "cre"), email = "ksun1@shu.edu.cn")
Maintainer: Kai Sun <ksun1@shu.edu.cn>
Description: Provides semiparametric smooth-coefficient stochastic frontier
    analysis following Sun and Kumbhakar (2013)
    <doi: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)
    <doi:10.1016/0304-4076(88)90053-X> and Jondrow et al. (1982)
    <doi:10.1016/0304-4076(82)90004-5> methods,
    respectively. Confidence intervals for technical efficiency are computed
    using the approach of Horrace and Schmidt (1996)
    <doi:10.1007/BF00157044>.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: Formula, np, stats
Config/roxygen2/version: 8.1.0
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-19 07:45:12 UTC; Administrator
Author: Kai Sun [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-29 14:20:02 UTC
