sigma.ZIPLNfit

Extract the variance-covariance matrix of the residuals, usually noted \(\Sigma\) in ZIPLN models.

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

François Gindraud

Julie Aubert

Bastien Batardière

Giovanni Poggiato

Cole Trapnell

Maddy Duran

sigma.ZIPLNfit function

<dl><dt>object</dt>
<dd>an R6 object with class <code>ZIPLNfit</code></dd>
<dt>...</dt>
<dd>additional parameters for S3 compatibility. Not used</dd></dl>

Arguments

Extract variance-covariance of residuals 'Sigma' — sigma.ZIPLNfit

<dl>

<dt>object</dt>
<dd>an R6 object with class <code>ZIPLNfit</code></dd>


<dt>...</dt>
<dd>additional parameters for S3 compatibility. Not used</dd>

</dl>

Extract variance-covariance of residuals 'Sigma'

sigma.ZIPLNfit: Extract variance-covariance of residuals 'Sigma'

Description

Usage

Value

Arguments

See Also