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: 2026-09-30 10:59:02 UTC; root
Author: Kai Sun [aut, cre]
Config/pak/sysreqs: make
Repository: https://kaisun84.r-universe.dev
Date/Publication: 2026-09-29 14:20:02 UTC
RemoteUrl: https://github.com/cran/spscsfa
RemoteRef: HEAD
RemoteSha: 93adf5b2006608a89d34c9060881b17af5156b50