snfa: Smooth Non-Parametric Frontier Analysis (original) (raw)
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.
| Version: | 0.0.1 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | abind (≥ 1.4.5), ggplot2 (≥ 3.1.0), prodlim (≥ 2018.4.18), quadprog (≥ 1.5.5), Rdpack (≥ 0.10.1), rootSolve (≥ 1.7) |
| Published: | 2018-12-01 |
| DOI: | 10.32614/CRAN.package.snfa |
| Author: | Taylor McKenzie [aut, cre] |
| Maintainer: | Taylor McKenzie |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | snfa results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=snfato link to this page.