permtest-class

This class represents the permutation test outcomes. See also
the function <code><a rd-options="" href="/link/permtest?package=xnet&version=0.1.11" data-mini-rdoc="xnet::permtest">permtest</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

permtest-class function

<dl class="dl-horizontal">
<dt><code>orig_loss</code></dt><dd>a numeric value with the original loss of
the model.</dd></dl><dt><code>perm_losses</code></dt><dd>a numeric vector with the losses of the
different permutations.</dd><dt><code>n</code></dt><dd>the number of permutations</dd><dt><code>loss_function</code></dt><dd>the function used to calculate the losses.</dd><dt><code>exclusion</code></dt><dd>a character value indicating the exclusion
setting used for the test</dd><dt><code>replaceby0</code></dt><dd>a locigal value that indicates whether the
exclusion was done by replacing with zero. See also
<code><a rd-options="" href="/link/loo?package=xnet&version=0.1.11" data-mini-rdoc="xnet::loo">loo</a></code>.</dd><dt><code>permutation</code></dt><dd>a character value that indicats in which
kernel matrices were permuted.</dd><dt><code>pval</code></dt><dd>a p value indicating how likely it is to find a
smaller loss than the one of the model based on a normal
approximation.</dd><dt><code>exact</code></dt><dd>a logical value indicating whether the P value was
calculated exactly or approximated by the normal distribution.</dd>

Slots

This class represents the permutation test outcomes. See also
the function <code><a rd-options='' href='permtest'>permtest</a></code>.

permtest-class: Class permtest

Description

Arguments

Slots

See Also