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snfa  

Smooth Non-Parametric Frontier Analysis
View on CRAN: Click here


Download and install snfa package within the R console
Install from CRAN:
install.packages("snfa")

Install from Github:
library("remotes")
install_github("cran/snfa")

Install by package version:
library("remotes")
install_version("snfa", "0.0.1")



Attach the package and use:
library("snfa")
Maintained by
Taylor McKenzie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-01
Latest Update: 2018-12-01
Description:
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.
How to cite:
Taylor McKenzie (2018). snfa: Smooth Non-Parametric Frontier Analysis. R package version 0.0.1, https://cran.r-project.org/web/packages/snfa. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for snfa
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