fitted.PLNmixturefit

Extracts model fitted values from objects returned by <code>PLNmixture()</code> and its variants

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

fitted.PLNmixturefit function

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

Arguments

Extracts model fitted values from objects returned by PLNmixture() and its variants — fitted.PLNmixturefit

<dl>

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


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

</dl>

Extracts model fitted values from objects returned by <code>PLNmixture()</code> and its variants

fitted.PLNmixturefit: Extracts model fitted values from objects returned by `PLNmixture()` and its variants

Description

Usage

Value

Arguments