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aws (version 1.3-3.1)

Adaptive Weights Smoothing

Description

The library contains R-functions to perform the adaptive weights smoothing (AWS) procedure described in Polzehl und Spokoiny (2000), Adaptive weights smoothing with applications to image restoration. Journal of the Royal Statistical Society, Ser. B, 62, 2, 335--354 and its generalizations to local polynomial models as described in Polzehl und Spokoiny (2003), Varying coefficient regression modeling by adaptive weights smoothing, WIAS-Preprint 818 and to local likelihood models as described in Polzehl und Spokoiny (2002). Local likelihood modelling by adaptive weights smoothing, WIAS-Preprint 787. The functions awsuni, awsbi and awstri are superseded by functions aws and laws and will be removed in later versions.

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Version

Install

install.packages('aws')

Monthly Downloads

917

Version

1.3-3.1

License

GPL version 2 or newer This library is Copyright (C) 2002-2007 Weierstrass Institute for Applied Analysis and Stochastics.

Maintainer

Joerg Polzehl

Last Published

September 30th, 2024

Functions in aws (1.3-3.1)

awsbi

Two-dimensional Adaptive Weights Smoothing
awsh

Univariate local polynomial Adaptive Weights Smoothing for regression with heteroscedastic additive errors
getnutri

Calculate number of grid points in a 3D ellipsoidal neighborhood
getnubi

Calculate number of grid points in a bivariate elliptical neighborhood
aws

Local polynomial Adaptive Weights Smoothing for regression with additive errors
laws

Likelihood based Adaptive Weights Smoothing
awstindex

Tail index estimation
awstri

Three-dimensional Adaptive Weights Smoothing
awsuni

One-dimensional Adaptive Weights Smoothing
awsdens

local constant density estimation