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.

sfadv: Advanced Methods for Stochastic Frontier Analysis

Stochastic frontier analysis with advanced methods. In particular, it applies the approach proposed by Latruffe et al. (2017) <doi:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical inefficiency effects when one input is endogenous.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: gmm, minpack.lm
Published: 2017-06-19
DOI: 10.32614/CRAN.package.sfadv
Author: Yann Desjeux [aut, cre], Laure Latruffe [aut], Alain Carpentier [ctb]
Maintainer: Yann Desjeux <yann.desjeux at inra.fr>
License: GPL-3
NeedsCompilation: no
Citation: sfadv citation info
Materials: NEWS
CRAN checks: sfadv results

Documentation:

Reference manual: sfadv.pdf

Downloads:

Package source: sfadv_1.0.1.tar.gz
Windows binaries: r-devel: sfadv_1.0.1.zip, r-release: sfadv_1.0.1.zip, r-oldrel: sfadv_1.0.1.zip
macOS binaries: r-release (arm64): sfadv_1.0.1.tgz, r-oldrel (arm64): sfadv_1.0.1.tgz, r-release (x86_64): sfadv_1.0.1.tgz, r-oldrel (x86_64): sfadv_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sfadv 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.