snfa
0.0.1Smooth Non-Parametric Frontier Analysis
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2.3Kdownloads / year
–test coverage
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Overview
About
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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CRAN checks
3NOTE10OK
Failing flavors
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 60%
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Dependencies
Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
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none
Suggests (0)
none
Enhances (0)
none
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0direct
0indirect
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People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
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Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.0.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2018-12-01
- Total releases
- 1 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 9.5 KB / 3 files
- Download size
- 56 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet