Package: robustSFA
Type: Package
Title: Robust Estimation of Stochastic Frontier Models with MDPDE
Version: 0.2.0
Authors@R: c(person(given = "Junmo",
                    family = "Song",
                    role = c("aut", "cre"),
                    email = "junmo.song@gmail.com"),
               person(given = "Dong-hyun",
                      family = "Oh",
                      role = "aut"))
Maintainer: Junmo Song <junmo.song@gmail.com>
Description: This provides a robust estimator for stochastic frontier models, employing the Minimum Density Power Divergence Estimator (MDPDE) for enhanced robustness against outliers. Additionally, it includes a function to recommend the optimal tuning parameter, alpha, which controls the robustness of the MDPDE. The methods implemented in this package are based on Song et al. (2017) <doi:10.1016/j.csda.2016.08.005>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: stats, truncnorm, Rcpp,frontier
NeedsCompilation: yes
LinkingTo: Rcpp, BH
Packaged: 2025-03-19 06:05:25 UTC; jsong
Author: Junmo Song [aut, cre],
  Dong-hyun Oh [aut]
Repository: CRAN
Date/Publication: 2025-03-21 15:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-25 17:58:06 UTC; unix
Archs: robustSFA.so.dSYM
