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
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manual.pdf |manual.html✨
DESCRIPTION
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:

panel.production - Randomly generated panel of production data
univariate - Randomly generated univariate data
USMacro - US Macroeconomic Data

On CRAN:

3.70 score 8 scripts 332 downloads 8 exports 40 dependencies

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

Target	Result	Time
linux-devel	ERROR	97
source / vignettes	OK	383
linux-release	ERROR	115
macos-release	ERROR	117
macos-oldrel	ERROR	133
windows-devel	ERROR	59
windows-release	ERROR	74
windows-oldrel	ERROR	54
wasm-release	OK	585

Exports:allocative.efficiency dea fit.boundary fit.mean fit.sf H.inv.select reflect.data technical.efficiency.change

Dependencies:abind cli codetools cpp11 data.table diagram digest farver future future.apply ggplot2 globals glue gtable isoband KernSmooth labeling lattice lava lifecycle listenv Matrix numDeriv parallelly prodlim progressr quadprog R6 RColorBrewer Rcpp rlang rootSolve S7 scales shape SQUAREM survival vctrs viridisLite withr

Introduction to snfa

References

Rendered fromsnfa.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Allocative efficiency estimation	allocative.efficiency
Data envelopment analysis	dea
Multivariate smooth boundary fitting with additional constraints	fit.boundary
Kernel smoothing with additional constraints	fit.mean
Non-parametric stochastic frontier	fit.sf
Bandwidth matrix selection	H.inv.select
Randomly generated panel of production data	panel.production
Data reflection for kernel smoothing	reflect.data
Technical and efficiency change estimation	technical.efficiency.change
Randomly generated univariate data	univariate
US Macroeconomic Data	USMacro