Utility function to create a weighting scheme for an additional aws step. Inteded to be used for illustrations only.
awsweights(awsobj, spmin = 0.25, inx = NULL)
an array of either dimension awsobj@dy x number of points or awsobj@dy x awsobj@dy
object obtained by a call to function aws
Size of the plateau in the adaptation kernel.
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.
Joerg Polzehl, polzehl@wias-berlin.de, https://www.wias-berlin.de/people/polzehl/
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 aws