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sfaR
View on CRAN: Click
here
Download and install sfaR package within the R console
Install from CRAN:
install.packages("sfaR")
Install from Github:
library("remotes")
install_github("cran/sfaR")
Install by package version:
library("remotes")
install_version("sfaR", "1.0.1")
Attach the package and use:
library("sfaR")
Maintained by
K Hervé Dakpo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sfaR . https://github.com/hdakpo/sfaR/issues . https://github.com/hdakpo/sfaR . sfaR citation info . sfaR results . sfaR.pdf . sfaR_1.0.1.tar.gz . sfaR_1.0.1.zip . sfaR_1.0.1.zip . sfaR_1.0.1.zip . sfaR_1.0.1.tgz . sfaR_1.0.1.tgz . sfaR_1.0.1.tgz . sfaR_1.0.1.tgz . sfaR_1.0.1.tgz . sfaR_1.0.1.tgz . sfaR archive . https://CRAN.R-project.org/package=sfaR .
First Published: 2021-03-05
Latest Update: 2023-07-04
Description:
Maximum likelihood estimation for stochastic frontier
analysis (SFA) of production (profit) and cost functions. The package
includes the basic stochastic frontier for cross-sectional or pooled
data with several distributions for the one-sided error term (i.e.,
Rayleigh, gamma, Weibull, lognormal, uniform, generalized exponential
and truncated skewed Laplace), the latent class stochastic frontier
model (LCM) as described in Dakpo et al. (2021)
, for cross-sectional and pooled data,
and the sample selection model as described in Greene (2010)
, and applied in Dakpo et al. (2021)
. Several possibilities in terms of
optimization algorithms are proposed.
How to cite:
K Hervé Dakpo (2021). sfaR: Stochastic Frontier Analysis Routines. R package version 1.0.1, https://cran.r-project.org/web/packages/sfaR. Accessed 13 Apr. 2025.
Previous versions and publish date:
Other packages that cited sfaR R package
View sfaR citation profile
Other R packages that sfaR depends,
imports, suggests or enhances
Complete documentation for sfaR
Functions, R codes and Examples using
the sfaR R package
Some associated functions: coef . dairynorway . dairyspain . efficiencies . electricity . extract . fitted . ic . logLik . marginal . nobs . residuals . ricephil . sfaR-deprecated . sfaR-package . sfacross . sfalcmcross . sfaselectioncross . skewnessTest . summary . swissrailways . utility . vcov . worldprod .
Some associated R codes: auxiliaries.R . coef.R . data.R . deprecated.R . efficiencies.R . extract.R . fitted.R . ic.R . logLik.R . marginal.R . nobs.R . residuals.R . sfaR-package.R . sfacross-exponential.R . sfacross-gamma.R . sfacross-generalized-exponential.R . sfacross-hnormal.R . sfacross-lognormal.R . sfacross-rayleigh.R . sfacross-tnormal-scaling.R . sfacross-tnormal.R . sfacross-truncated-skewed-laplace.R . sfacross-uniform.R . sfacross-weibull.R . sfacross.R . sfalcmcross-halfnormal-2Classes.R . sfalcmcross-halfnormal-3Classes.R . sfalcmcross-halfnormal-4Classes.R . sfalcmcross-halfnormal-5Classes.R . sfalcmcross.R . sfaselectioncross-hnormal.R . sfaselectioncross.R . skewnessTest.R . summary.R . vcov.R . zzz.R . Full sfaR package functions and examples
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