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npbr (version 1.0)

Nonparametric boundary regression

Description

This package provides functions for the best known approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smooth, unconstrained as well as restricted estimates under both separate and multiple shape constraints. The package also allows for Monte Carlo comparisons among these different estimation procedures, illustrating the simulation experiments by Daouia, Noh and Park (2013), Data envelope fitting with constrained polynomial splines, TSE Working Paper, http://www.tse-fr.eu/images/doc/wp/etrie/wp_tse_449.pdf

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Version

Install

install.packages('npbr')

Monthly Downloads

229

Version

1.0

License

GPL (>= 2)

Maintainer

Thibault Laurent

Last Published

December 12th, 2013

Functions in npbr (1.0)

npbr-package

Nonparametric boundary regression
dea_est

DEA, FDH and linearized FDH estimators.
quad_spline_est_kn

AIC (or BIC) criterion for choosing the number of knots for quadratic splines
poly_est

Polynomial-based edge estimators
quad_spline_est

Constrained quadratic spline frontiers
nuclear

Reliability programs of nuclear reactors
green

American electric utility companies
loc_est_bw

Bootstrap bandwidth selection for the local linear frontier estimator
loc_est

Local linear frontier estimator