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npbr (version 1.8)

Nonparametric Boundary Regression

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.

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Version

Install

install.packages('npbr')

Monthly Downloads

255

Version

1.8

License

GPL (>= 2)

Last Published

March 22nd, 2023

Functions in npbr (1.8)

green

American electric utility companies
kern_smooth_bw

Bandwidth selection for kernel smoothing frontier estimators
dfs_pwm

Probability-weighted moment frontier estimator
dfs_momt

Moment frontier estimator
cub_spline_est

Cubic spline fitting
dea_est

DEA, FDH and linearized FDH estimators.
dfs_pick

Pickands frontier estimator
air

European air controllers
kern_smooth

Frontier estimation via kernel smoothing
cub_spline_kn

AIC and BIC criteria for choosing the number of inter-knot segments in cubic spline fits
poly_degree

AIC and BIC criteria for choosing the optimal degree of the polynomial frontier estimator
loc_est

Local linear frontier estimator
mopt_pwm

Threshold selection for the PWM frontier estimator
kopt_momt_pick

Optimal \(k\) in moment and Pickands frontier estimators
poly_est

Polynomial frontier estimators
loc_est_bw

Bandwidth selection for the local linear frontier estimator
loc_max

Local maximum frontier estimators
pick_est

Local Pickands' frontier estimator
nuclear

Reliability programs of nuclear reactors
records

Annual sport records
rho_momt_pick

Optimal rho for moment and Pickands frontier estimator
rho_pwm

Probability-weighted moment frontier estimator
quad_spline_kn

AIC and BIC criteria for choosing the optimal number of inter-knot segments in quadratic spline fits
quad_spline_est

Quadratic spline frontiers
npbr-package

Nonparametric boundary regression
post

European postal services