CRAN/E | npbr

npbr

Nonparametric Boundary Regression

Installation

About

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.

Citation npbr citation info

Key Metrics

Version 1.7
R ≥ 3.3.1
Published 2022-07-07 820 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks npbr results

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Maintainer

Maintainer

Thibault Laurent

Authors

Abdelaati Daouia
Thibault Laurent
Hohsuk Noh

Material

Reference manual
Package source

Vignettes

Non parametric

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

npbr archive

Depends

R ≥ 3.3.1
graphics
stats
utils

Imports

Benchmarking
np
quadprog
Rglpk ≥ 0.6-2
splines