coefficient_path

Extract the regularization path of a PLNnetwork fit

The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin,
2021 <doi:10.3389/fevo.2021.588292>) can be used for
a variety of multivariate problems when count data are at play, including
principal component analysis for count data, discriminant analysis, model-based clustering and
network inference. Implements variational algorithms to fit such models accompanied with a set of
functions for visualization and diagnostic.

Julien Chiquet

PLNmodels

Poisson Lognormal Models

Mahendra Mariadassou

Stéphane Robin

Giovanni Poggiato

François Gindraud

coefficient_path function

<dl><dt>Robject</dt>
<dd>an object with class <code>PLNnetworkfamily</code>, i.e. an output from <code>PLNnetwork()</code></dd>
<dt>precision</dt>
<dd>a logical, should the coefficients of the precision matrix Omega or the covariance matrix Sigma be sent back. Default is <code>TRUE</code>.</dd>
<dt>corr</dt>
<dd>a logical, should the correlation (partial in case <code>precision = TRUE</code>) be sent back. Default is <code>TRUE</code>.</dd></dl>

Arguments

Extract the regularization path of a PLNnetwork fit — coefficient_path

<dl>

<dt>Robject</dt>
<dd>an object with class <code>PLNnetworkfamily</code>, i.e. an output from <code>PLNnetwork()</code></dd>


<dt>precision</dt>
<dd>a logical, should the coefficients of the precision matrix Omega or the covariance matrix Sigma be sent back. Default is <code>TRUE</code>.</dd>


<dt>corr</dt>
<dd>a logical, should the correlation (partial in case <code>precision = TRUE</code>) be sent back. Default is <code>TRUE</code>.</dd>

</dl>

coefficient_path: Extract the regularization path of a PLNnetwork fit

Description

Usage

Value

Arguments

Examples