Robust Estimation of Stochastic Frontier Models with MDPDE R package robustSFA version 0.2.0 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>. Software Imports: stats, truncnorm, Rcpp,frontier LinkingTo: Rcpp, BH Junmo Song <junmo.song@gmail.com> Comprehensive R Archive Network (CRAN) Junmo Song [aut, cre], Dong-hyun Oh [aut] GPL-3 2025-03-21 application/tgz https://CRAN.R-project.org/package=robustSFA doi:10.32614/CRAN.package.robustSFA