plot-methods

plot,ANY-method

plot,aws-method

plot,awssegment-method

plot,ICIsmooth-method

plot,kernsm-method

Visualization of objects of class <code>"aws"</code>, <code>"awsswgment"</code>, 
<code>"kernsm"</code> and <code>"ICIsmooth"</code>

methods

 hplot

We provide a collection of R-functions implementing
adaptive smoothing procedures in 1D, 2D and 3D. This includes the
Propagation-Separation Approach to adaptive smoothing,
the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter.
The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020).
Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27.
<doi:10.18637/jss.v095.i06>,
Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2019),
Magnetic Resonance Brain Imaging, Appendix A, Springer, Use R! Series.
<doi:10.1007/978-3-030-29184-6_6>.

Joerg Polzehl

Adaptive Weights Smoothing

Felix Anker

plot-methods function

<dl class="dl-horizontal"><dt><code>signature(x = "ANY")</code></dt><dd>Generic function: see <code><a rd-options="graphics" href="/link/plot?package=aws&version=2.5&to=graphics" data-mini-rdoc="graphics::plot">plot</a></code>.</dd><dt><code>signature(x = "aws")</code></dt><dd>Visualization of objects of class <code>"aws"</code></dd><dt><code>signature(x = "awssegment")</code></dt><dd>Visualization of objects of class <code>"awssegment"</code></dd><dt><code>signature(x = "ICIsmooth")</code></dt><dd>Visualization of objects of class <code>"ICIsmooth"</code></dd><dt><code>signature(x = "kernsm")</code></dt><dd>Visualization of objects of class <code>"kernsm"</code></dd>
</dl>

Methods

Methods for Function `plot' from package 'graphics' in Package `aws' — plot-methods

Methods for Function `plot' from package 'graphics' in Package `aws'

plot-methods: Methods for Function `plot' from package 'graphics' in Package `aws'

Description

Arguments

Methods

See Also