linearFilter-class

linearFilter

The class represents the outcome of a linear filter, and is normally
generated by the function <code><a rd-options="" href="/link/linear_filter?package=xnet&version=0.1.11" data-mini-rdoc="xnet::linear_filter">linear_filter</a></code>

Fit a two-step kernel ridge regression model for
predicting edges in networks, and carry out cross-validation
using shortcuts for swift and accurate performance assessment
(Stock et al, 2018 <doi:10.1093/bib/bby095> ).

Joris Meys

xnet

Two-Step Kernel Ridge Regression for Network Predictions

Michiel Stock

linearFilter-class function

<dl class="dl-horizontal">
<dt><code>y</code></dt><dd>the original label matrix with responses.</dd></dl><dt><code>alpha</code></dt><dd>a numeric vector with the 4 alpha values of the model.</dd><dt><code>pred</code></dt><dd>a matrix with the predictions</dd><dt><code>mean</code></dt><dd>a numeric vector containing the global mean of <code>y</code></dd><dt><code>colmeans</code></dt><dd>a numeric vector containing the column means of <code>y</code></dd><dt><code>rowmeans</code></dt><dd>a numeric vector containing the row means of <code>y</code>.</dd><dt><code>na.rm</code></dt><dd>a logical value indicating whether missing values were
removed prior to the calculation of the means.</dd>

Slots

The class represents the outcome of a linear filter, and is normally
generated by the function <code><a rd-options='' href='linear_filter'>linear_filter</a></code>

linearFilter-class: Class linearFilter

Description

Arguments

Slots

See Also