snfa
Smooth Non-Parametric Frontier Analysis
Fitting of non-parametric production frontiers for use in efficiency analysis. Methods are provided for both a smooth analogue of Data Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a single output using constrained kernel smoothing as in Racine et al. (2009), which allow for the imposition of monotonicity and concavity constraints on the estimated frontier.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | snfa_0.0.1.tar.gz |
81.2 KiB |
0.0.1 |
rolling linux/noble R-4.5 | snfa_0.0.1.tar.gz |
81.1 KiB |
0.0.1 |
rolling source/ R- | snfa_0.0.1.tar.gz |
56.1 KiB |
0.0.1 |
latest linux/jammy R-4.5 | snfa_0.0.1.tar.gz |
81.2 KiB |
0.0.1 |
latest linux/noble R-4.5 | snfa_0.0.1.tar.gz |
81.1 KiB |
0.0.1 |
latest source/ R- | snfa_0.0.1.tar.gz |
56.1 KiB |
0.0.1 |
2026-04-26 source/ R- | snfa_0.0.1.tar.gz |
56.1 KiB |
0.0.1 |
2026-04-23 source/ R- | snfa_0.0.1.tar.gz |
56.1 KiB |
0.0.1 |
2026-04-09 windows/windows R-4.5 | snfa_0.0.1.zip |
83.7 KiB |
0.0.1 |
2025-04-20 source/ R- | snfa_0.0.1.tar.gz |
56.1 KiB |