Package: snfa
Title: Smooth Non-Parametric Frontier Analysis
Version: 0.0.1
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), ggplot2 (>= 3.1.0), prodlim (>= 2018.4.18),
        quadprog (>= 1.5.5), Rdpack (>= 0.10.1), rootSolve (>= 1.7)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2018-11-20 16:08:34 UTC; tmcken
Author: Taylor McKenzie [aut, cre]
Repository: CRAN
Date/Publication: 2018-12-01 00:00:03 UTC
Built: R 4.6.0; ; 2026-04-26 15:14:00 UTC; unix
