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snfa

Smooth Non-Parametric Frontier Analysis

v0.0.1 · Nov 30, 2018 · GPL-3

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.

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dependencies in R code

Namespaces in Imports field not imported from:
  ‘Rdpack’ ‘ggplot2’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘Rdpack’ ‘ggplot2’
  All declared Imports should be used.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘Rdpack’ ‘ggplot2’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘Rdpack’ ‘ggplot2’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies abind ggplot2 prodlim quadprog Rdpack rootSolve snfa

Version History

new 0.0.1 Mar 10, 2026