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sfaR  

Stochastic Frontier Analysis Routines
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]
All associated links for this package
First Published: 2021-03-05
Latest Update: 2024-10-29
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 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:03), 0.0.91 (2021-03-05 10:30), 0.1.0 (2021-05-04 06:40), 0.1.1 (2022-05-05 16:40), 1.0.0 (2023-07-04 13:30)
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Complete documentation for sfaR
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