Smooth Non-Parametric Frontier Analysis

Fitting of non-parametric production frontiers for use in efficiency analysis. Methods are provided for both a smooth analogue of Data Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a single output using constrained kernel smoothing as in Racine et al. (2009), which allow for the imposition of monotonicity and concavity constraints on the estimated frontier.


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install.packages("snfa")

0.0.1 by Taylor McKenzie, 10 months ago


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


Authors: Taylor McKenzie [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports abind, ggplot2, prodlim, quadprog, Rdpack, rootSolve


See at CRAN