Package: snfa 0.0.1.9000

snfa: 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.

Authors:Taylor McKenzie [aut, cre]

snfa_0.0.1.9000.tar.gz
snfa_0.0.1.9000.zip(r-4.7)snfa_0.0.1.9000.zip(r-4.6)snfa_0.0.1.9000.zip(r-4.5)
snfa_0.0.1.9000.tgz(r-4.6-any)snfa_0.0.1.9000.tgz(r-4.5-any)
snfa_0.0.1.9000.tar.gz(r-4.7-any)snfa_0.0.1.9000.tar.gz(r-4.6-any)
snfa_0.0.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
snfa/json (API)

# Install 'snfa' in R:
install.packages('snfa', repos = c('https://tkmckenzie.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tkmckenzie/snfa/issues

Datasets:

On CRAN:

Conda:

3.70 score 8 scripts 148 downloads 8 exports 40 dependencies

Last updated from:457097e7f2. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR120
source / vignettesOK203
linux-release-x86_64ERROR106
macos-release-arm64ERROR106
macos-oldrel-arm64ERROR119
windows-develERROR64
windows-releaseERROR59
windows-oldrelERROR76
wasm-releaseOK115

Exports:allocative.efficiencydeafit.boundaryfit.meanfit.sfH.inv.selectreflect.datatechnical.efficiency.change

Dependencies:abindclicodetoolscpp11data.tablediagramdigestfarverfuturefuture.applyggplot2globalsgluegtableisobandKernSmoothlabelinglatticelavalifecyclelistenvMatrixnumDerivparallellyprodlimprogressrquadprogR6RColorBrewerRcpprlangrootSolveS7scalesshapeSQUAREMsurvivalvctrsviridisLitewithr

Introduction to snfa

Rendered fromsnfa.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2020-06-10
Started: 2018-12-03