Collection of R-functions implementing the Propagation-Separation Approach to adaptive smoothing as described in "J. Polzehl and V. Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1>" and "J. Polzehl and V. Spokoiny (2004) <DOI:10.20347/WIAS.PREPRINT.998>".
|Author||Joerg Polzehl [aut, cre], Felix Anker [ctb]|
|Date of publication||2016-09-15 15:46:33|
|Maintainer||Joerg Polzehl <firstname.lastname@example.org>|
|License||GPL (>= 2)|
aws: AWS for local constant models on a grid
aws-class: Class '"aws"'
awsdata: Extract information from an object of class aws
aws.gaussian: Adaptive weights smoothing for Gaussian data with variance...
aws.irreg: local constant AWS for irregular (1D/2D) design
aws-package: Adaptive Weights Smoothing
aws.segment: Segmentation by adaptive weights for Gaussian models.
awssegment-class: Class '"awssegment"'
awstestprop: Propagation condition for adaptive weights smoothing
binning: Binning in 1D, 2D or 3D
extract-methods: Methods for Function 'extract' in Package 'aws'
ICIcombined: Adaptive smoothing by Intersection of Confidence Intervals...
ICIsmooth: Adaptive smoothing by Intersection of Confidence Intervals...
ICIsmooth-class: Class '"ICIsmooth"'
kernsm: Kernel smoothing on a 1D, 2D or 3D grid
kernsm-class: Class '"kernsm"'
lpaws: Local polynomial smoothing by AWS
plot-methods: Methods for Function 'plot' from package 'graphics' in...
print-methods: Methods for Function 'print' from package 'base' in Package...
risk-methods: Compute risks characterizing the quality of smoothing results
show-methods: Methods for Function 'show' in Package 'aws'
summary-methods: Methods for Function 'summary' from package 'base' in Package...