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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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	40.9s
r-devel-linux-x86_64-debian-gcc	OK	32.7s
r-devel-linux-x86_64-fedora-clang	NOTE	65s
r-devel-linux-x86_64-fedora-gcc	NOTE	63.6s
r-devel-windows-x86_64	OK	63s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	36s
r-oldrel-windows-x86_64	OK	74s
r-patched-linux-x86_64	OK	38.2s
r-release-linux-x86_64	OK
r-release-macos-arm64	OK	14s
r-release-macos-x86_64	OK	48s
r-release-windows-x86_64	OK	64s

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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.

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Version History

1 tracked

new 0.0.1 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Dec 1, 2018. Releases before tracking aren’t shown.