awsweights: Generate weight scheme that would be used in an additional...

In aws: Adaptive Weights Smoothing

Generate weight scheme that would be used in an additional aws step

Description

Utility function to create a weighting scheme for an additional aws step. Inteded to be used for illustrations only.

Usage

awsweights(awsobj, spmin = 0.25, inx = NULL)

Arguments

awsobj	object obtained by a call to function aws
spmin	Size of the plateau in the adaptation kernel.
inx	either a matrix of dimension length(awsobj@dy) x number of points containing the integer coordinates of points of interest or NULL. In the latter case the weight scheme for all points is generated.

Value

an array of either dimension awsobj@dy x number of points or awsobj@dy x awsobj@dy

Author(s)

Joerg Polzehl, [e-mail], https://www.wias-berlin.de/people/polzehl/

References

Joerg Polzehl, Vladimir Spokoiny, Adaptive Weights Smoothing with applications to image restoration, J. R. Stat. Soc. Ser. B Stat. Methodol. 62 , (2000) , pp. 335–354

Joerg Polzehl, Vladimir Spokoiny, Propagation-separation approach for local likelihood estimation, Probab. Theory Related Fields 135 (3), (2006) , pp. 335–362.

Joerg Polzehl, Kostas Papafitsoros, Karsten Tabelow (2020). Patch-Wise Adaptive Weights Smoothing in R, Journal of Statistical Software, 95(6), 1-27. doi:10.18637/jss.v095.i06.

See Also

See also aws

aws documentation built on July 9, 2023, 6:07 p.m.