The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 <tkmckenzie at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | snfa results |
| Reference manual: | snfa.pdf |
| Package source: | snfa_0.0.1.tar.gz |
| Windows binaries: | r-devel: snfa_0.0.1.zip, r-release: snfa_0.0.1.zip, r-oldrel: snfa_0.0.1.zip |
| macOS binaries: | r-release (arm64): snfa_0.0.1.tgz, r-oldrel (arm64): snfa_0.0.1.tgz, r-release (x86_64): snfa_0.0.1.tgz, r-oldrel (x86_64): snfa_0.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=snfa to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.