AddOutlier

<code>AddOutlier</code> returns a matrix with outliers randomly added to a matrix
 given certain proportion of contamination

Computing singular value decomposition with robustness is a challenging task.
This package provides an implementation of computing robust SVD using density power
divergence (<doi:10.48550/arXiv.2109.10680>). It combines the idea of robustness and efficiency in estimation
based on a tuning parameter. It also provides utility functions to simulate various
scenarios to compare performances of different algorithms.

Subhrajyoty Roy

rsvddpd

Robust Singular Value Decomposition using Density Power
Divergence

AddOutlier function

<dl><dt>X</dt>
<dd><code>matrix</code>, to which outliers are added</dd>
<dt>proportion</dt>
<dd><code>numeric</code>, proportion of elements, rows or columns to be contaminated. 
Must be between 0 and 1.</dd>
<dt>value</dt>
<dd><code>numeric</code>, the outlying value to be used for contamination</dd>
<dt>seed</dt>
<dd><code>numeric</code>, a seed to reproduce the randomization behaviour</dd>
<dt>method</dt>
<dd><code>character</code>, must be one of the following:<ul>
<li><code>"element"</code> - For contaminating at random positions of the matrix</li>
<li><code>"row"</code> - For contaminating an entire row of the matrix</li>
<li><code>"col"</code> - For contaminating an entire column of the matrix</li>
</ul></dd></dl>

Arguments

Add outlier to matrix — AddOutlier

<dl>

<dt>X</dt>
<dd><code>matrix</code>, to which outliers are added</dd>


<dt>proportion</dt>
<dd><code>numeric</code>, proportion of elements, rows or columns to be contaminated. 
Must be between 0 and 1.</dd>


<dt>value</dt>
<dd><code>numeric</code>, the outlying value to be used for contamination</dd>


<dt>seed</dt>
<dd><code>numeric</code>, a seed to reproduce the randomization behaviour</dd>


<dt>method</dt>
<dd><code>character</code>, must be one of the following:<ul>
<li><code>"element"</code> - For contaminating at random positions of the matrix</li>
<li><code>"row"</code> - For contaminating an entire row of the matrix</li>
<li><code>"col"</code> - For contaminating an entire column of the matrix</li>
</ul></dd>

</dl>

AddOutlier: Add outlier to matrix

Description

Usage

Value

Arguments

Examples