Package: npbr
Type: Package
Title: Nonparametric Boundary Regression
Version: 1.8
Date: 2023-03-21
Author: Abdelaati Daouia <Abdelaati.Daouia@tse-fr.eu>, Thibault Laurent <thibault.laurent@univ-tlse1.fr>, Hohsuk Noh <word5810@gmail.com>
Maintainer: Thibault Laurent <thibault.laurent@univ-tlse1.fr>
Depends: R (>= 4.0.0), graphics, stats, utils
Imports: Benchmarking, np, quadprog, Rglpk (>= 0.6-2), splines
Description: A variety of functions for the best known and most innovative approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted as well as constrained fits under both separate and multiple shape constraints. They cover robust approaches to outliers  as well as data envelopment techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package also seamlessly allows for Monte Carlo comparisons among these different estimation methods.  Its use is illustrated via a number of empirical applications and simulated examples.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-21 16:06:46 UTC; laurent
Repository: CRAN
Date/Publication: 2023-03-22 09:00:05 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-02-19 03:54:16 UTC; windows
Archs: x64
