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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | robustSFA_0.2.0.tar.gz |
89.1 KiB |
0.2.0 |
rolling linux/noble R-4.5 | robustSFA_0.2.0.tar.gz |
90.0 KiB |
0.2.0 |
rolling source/ R- | robustSFA_0.2.0.tar.gz |
9.8 KiB |
0.2.0 |
latest linux/jammy R-4.5 | robustSFA_0.2.0.tar.gz |
89.1 KiB |
0.2.0 |
latest linux/noble R-4.5 | robustSFA_0.2.0.tar.gz |
90.0 KiB |
0.2.0 |
latest source/ R- | robustSFA_0.2.0.tar.gz |
9.8 KiB |
0.2.0 |
2026-04-26 source/ R- | robustSFA_0.2.0.tar.gz |
9.8 KiB |
0.2.0 |
2026-04-23 source/ R- | robustSFA_0.2.0.tar.gz |
9.8 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | robustSFA_0.2.0.zip |
413.1 KiB |
0.2.0 |
2025-04-20 source/ R- | robustSFA_0.2.0.tar.gz |
9.8 KiB |