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aws (version 1.6-1)

Adaptive Weights Smoothing

Description

The package contains R-functions implementing the Propagation-Separation Approach to adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), Propagation-Separation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields, 135(3):335--362. and J. Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagation-separation approach, WIAS-Preprint 998.

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Version

Install

install.packages('aws')

Monthly Downloads

637

Version

1.6-1

License

GPL (>= 2)

Maintainer

Joerg Polzehl

Last Published

October 12th, 2009

Functions in aws (1.6-1)

binning

Binning in 1D, 2D or 3D
aws.gaussian

Adaptive weights smoothing for Gaussian data with variance depending on the mean.
lpaws

Local polynomial smoothing by AWS
aws.irreg

local constant AWS for irregular (1D/2D) design
aws-package

Adaptive Weights Smoothing
aws

AWS for local constant models on a grid
awsdata

Extract information from an object of class aws
aws.segment

Segmentation by adaptive weights for Gaussian models.