Package: snfa
Title: Smooth Non-Parametric Frontier Analysis
Version: 0.0.1.9000
Authors@R: person("Taylor", "McKenzie", email = "tkmckenzie@gmail.com", role = c("aut", "cre"))
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.
Maintainer: Taylor McKenzie <tkmckenzie@gmail.com>
Depends: R (>= 3.5.0)
Imports: abind (>= 1.4.5), prodlim (>= 2018.4.18), quadprog (>= 1.5.5),
        rootSolve (>= 1.7)
Suggests: ggplot2 (>= 3.1.0), knitr (>= 1.20), lpSolve (>= 5.6.13),
        Rdpack (>= 0.10.1), rmarkdown (>= 1.10)
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
RdMacros: Rdpack
Repository: https://tkmckenzie.r-universe.dev
Date/Publication: 2020-06-10 21:56:47 UTC
RemoteUrl: https://github.com/tkmckenzie/snfa
RemoteRef: HEAD
RemoteSha: 457097e7f24abd87c04c4f4851f5bb69a46632ac
NeedsCompilation: no
Packaged: 2026-10-17 10:07:20 UTC; root
Author: Taylor McKenzie [aut, cre]