The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.
| Version: | 1.1 |
| Depends: | R (≥ 3.1.2), mgcv, np, gamlss |
| Imports: | moments, doParallel, foreach, iterators |
| Published: | 2018-04-20 |
| Author: | Giancarlo Ferrara and Francesco Vidoli |
| Maintainer: | Giancarlo Ferrara <giancarlo.ferrara at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| In views: | Econometrics |
| CRAN checks: | semsfa results |
| Reference manual: | semsfa.pdf |
| Package source: | semsfa_1.1.tar.gz |
| Windows binaries: | r-devel: semsfa_1.1.zip, r-release: semsfa_1.1.zip, r-oldrel: semsfa_1.1.zip |
| macOS binaries: | r-release (arm64): semsfa_1.1.tgz, r-oldrel (arm64): semsfa_1.1.tgz, r-release (x86_64): semsfa_1.1.tgz, r-oldrel (x86_64): semsfa_1.1.tgz |
| Old sources: | semsfa archive |
Please use the canonical form https://CRAN.R-project.org/package=semsfa 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.
Health stats visible at Monitor.