update.gllvm

update

Models of class gllvm have three formula interfaces: formula, lv.formula, and row.eff. Each can include fixed and random effects.

Analysis of multivariate data using generalized linear latent variable models (gllvm).
Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).

Jenni Niku

gllvm

Generalized Linear Latent Variable Models

Wesley Brooks

Riki Herliansyah

Francis K.C. Hui

Pekka Korhonen

Sara Taskinen

Bert van der Veen

David I. Warton

update.gllvm function

<dl><dt>object</dt>
<dd>an object of class 'gllvm'.</dd>
<dt>formula</dt>
<dd>interface for column-specific effects.</dd>
<dt>lv.formula</dt>
<dd>interface for latent variable (reduced-rank) effects.</dd>
<dt>row.eff</dt>
<dd>interface for row-specific (i.e., same for all columns) effects.</dd>
<dt>eval</dt>
<dd>default to TRUE, in which case the reformulated model is fitted directly. if FALSE returns the new model call.</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Author

Update and Re-fit a gllvm Model Call — update.gllvm

<dl>

<dt>object</dt>
<dd>an object of class 'gllvm'.</dd>


<dt>formula</dt>
<dd>interface for column-specific effects.</dd>


<dt>lv.formula</dt>
<dd>interface for latent variable (reduced-rank) effects.</dd>


<dt>row.eff</dt>
<dd>interface for row-specific (i.e., same for all columns) effects.</dd>


<dt>eval</dt>
<dd>default to TRUE, in which case the reformulated model is fitted directly. if FALSE returns the new model call.</dd>


<dt>...</dt>
<dd>not used.</dd>

</dl>

Update and Re-fit a gllvm Model Call

update.gllvm: Update and Re-fit a gllvm Model Call

Description

Usage

Arguments

Author

Details