show-methods

show,ANY-method

show,aws-method

show,awssegment-method

show,ICIsmooth-method

show,kernsm-method


The function provides information on data dimensions, data source and 
existing slot-names for objects of class <code>"aws"</code>, <code>"awssegment"</code>,
 <code>"ICIsmooth"</code> and <code>"kernsm"</code> in package <span class="pkg">aws</span>


methods

 utiities 

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.

Joerg Polzehl

Adaptive Weights Smoothing

show-methods function

<dl> <dt><code>signature(object = "ANY")</code></dt><dd>
Generic function. 
</dd> <dt><code>signature(object = "aws")</code></dt><dd>
Provide information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>
                    and classes that extent <code>"aws"</code>.</dd> <dt><code>signature(object = "awssegment")</code></dt><dd>
Provide information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>
                    and classes that extent <code>"awssegment"</code>.</dd> <dt><code>signature(object = "ICIsmooth")</code></dt><dd>
Provide information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>
                    and classes that extent <code>"ICIsmooth"</code>.</dd> <dt><code>signature(object = "kernsm")</code></dt><dd>
Provide information on data dimensions, data source and existing slot-names for objects of class <code>"dti"</code>
                    and classes that extent <code>"kernsm"</code>.</dd> </dl>

Methods

Methods for Function `show' in Package `aws'

show-methods: Methods for Function `show' in Package `aws'

Description

Arguments

Methods

See Also