Analysis of multivariate data using generalized linear latent variable models (gllvm).
Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>).
For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.

Generalized Linear Latent Variable Models

package-ubuntu-20.04-r-4.0.5#cran#gllvm-1.3.0

<p>Extract latent variables from gllvm object.
</p>

## S3 method for class 'gllvm'
getLV(object)

<table summary="R argblock"><tr valign="top">
<td><code>object</code></td>
<td>
<p>an object of class 'gllvm'.</p>
</td>
</tr></table>

package-ubuntu-20.04-r-4.0.5#cran#gllvm-1.3.0#docs#getLV.gllvm

getLV.gllvm

Description

Usage

Arguments

gllvm

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