coef.PLNLDAfit

The method for objects returned by <code>PLNLDA()</code> only returns
coefficients associated to the $$\Theta$$ part of the model (see the PLNLDA vignette
for mathematical details).

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

coef.PLNLDAfit function

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

Arguments

Extracts model coefficients from objects returned by PLNLDA() — coef.PLNLDAfit

<dl>

<dt>object</dt>
<dd>an R6 object with class PLNLDAfit</dd>


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

</dl>

Extracts model coefficients from objects returned by <code>PLNLDA()</code>

coef.PLNLDAfit: Extracts model coefficients from objects returned by `PLNLDA()`

Description

Usage

Value

Arguments

Examples