robustSFA: Robust Estimation of Stochastic Frontier Models with MDPDE

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>.

Version:	0.2.0
Imports:	stats, truncnorm, Rcpp, frontier
LinkingTo:	Rcpp, BH
Published:	2025-03-21
Author:	Junmo Song [aut, cre], Dong-hyun Oh [aut]
Maintainer:	Junmo Song <junmo.song at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	robustSFA results

Documentation:

Reference manual:

robustSFA.html , robustSFA.pdf

Downloads:

Package source:	robustSFA_0.2.0.tar.gz
Windows binaries:	r-devel: robustSFA_0.2.0.zip, r-release: robustSFA_0.2.0.zip, r-oldrel: robustSFA_0.2.0.zip
macOS binaries:	r-release (arm64): robustSFA_0.2.0.tgz, r-oldrel (arm64): robustSFA_0.2.0.tgz, r-release (x86_64): robustSFA_0.2.0.tgz, r-oldrel (x86_64): robustSFA_0.2.0.tgz

Linking:

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