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

Giovanni Poggiato

François Gindraud

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>

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

Description

Usage

Value

Arguments

Examples