sfa: Stochastic Frontier Analysis
Version 1.0-1

Stochastic Frontier Analysis introduced by Aigner, Lovell and Schmidt (1976) and Battese and Coelli (1992, 1995).

Browse man pages Browse package API and functions Browse package files

AuthorAriane Straub, under the supervision of Torsten Hothorn
Date of publication2014-01-06 17:18:52
MaintainerAriane Straub <Ari81543@gmail.com>
LicenseGPL-2
Version1.0-1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("sfa")

Man pages

dgp: Sample data generating process
eff: generic function
logLiks: The negative log likelihood function of the SFA
methods: Methods for displaying information about stochastic frontier...
sfa: Fitting stochastic frontier analysis models
sfa-package: Fitting stochastic frontier analysis models
te.eff.sfa: technical efficiencies of sfa objects
u.sfa: Infficiencies of a sfa-object

Functions

L_exp Man page Source code
L_hNV Man page Source code
L_trunc Man page Source code
L_trunc_mufest Man page Source code
coef.sfa Man page Source code
dgp Man page Source code
eff Man page Source code
eff.sfa Man page Source code
fitted.sfa Man page Source code
logLik.sfa Man page Source code
methods.sfa Man page
predict.sfa Man page Source code
print.sfa Man page Source code
print.summary.sfa Man page Source code
residuals.sfa Man page Source code
sfa Man page Source code
sfa-package Man page
sfa.fit Man page Source code
summary.sfa Man page Source code
te.eff.sfa Man page Source code
u.sfa Man page Source code

Files

NAMESPACE
R
R/methods.R
R/dgp.R
R/sfa.R
MD5
DESCRIPTION
man
man/logLiks.Rd
man/eff.Rd
man/te.eff.sfa.Rd
man/dgp.Rd
man/sfa-package.Rd
man/u.sfa.Rd
man/sfa.Rd
man/methods.Rd
sfa documentation built on May 19, 2017, 3:41 p.m.