Stochastic Frontier Analysis using R

Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit) and cost functions. The package includes several distributions for the one-sided error term (i.e. Rayleigh, Gamma, Weibull, lognormal, uniform, generalized exponential and truncated skewed Laplace) as well as the latent class stochastic frontier model (LCM) as described in Dakpo et al. (2021) . Several possibilities in terms of optimization algorithms are proposed.


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install.packages("sfaR")

0.1.0 by Yann Desjeux, 7 months ago


Report a bug at https://r-forge.r-project.org/tracker/?group_id=2413


Browse source code at https://github.com/cran/sfaR


Authors: K Hervé Dakpo [aut] , Yann Desjeux [aut, cre] , Laure Latruffe [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, emdbook, fBasics, Formula, gsl, marqLevAlg, MASS, maxLik, methods, moments, nleqslv, numDeriv, primes, qrng, randtoolbox, trustOptim, ucminf

Suggests mlogit


See at CRAN