npbr: Nonparametric Boundary Regression
Version 1.6

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.

Package details

AuthorAbdelaati Daouia <[email protected]>, Thibault Laurent <[email protected]>, Hohsuk Noh <[email protected]>
Date of publication2017-08-08 14:46:30 UTC
MaintainerThibault Laurent <[email protected]>
LicenseGPL (>= 2)
Version1.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("npbr")

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npbr documentation built on Aug. 8, 2017, 5:07 p.m.