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  "Description": "This provides a robust estimator for stochastic frontier\nmodels, employing the Minimum Density Power Divergence\nEstimator (MDPDE) for enhanced robustness against outliers.\nAdditionally, it includes a function to recommend the optimal\ntuning parameter, alpha, which controls the robustness of the\nMDPDE. The methods implemented in this package are based on\nSong et al. (2017) <doi:10.1016/j.csda.2016.08.005>.",
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