AICc

AICc.gllvm

nobs

nobs.gllvm

Calculates corrected Akaike information criterion for small sample sizes, and extracts number of observations.

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

AICc function

<dl><dt>object</dt>
<dd>an object of class 'gllvm'.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Author

Corrected Akaike information criterion and number of observations — AICc

<dl>

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


<dt>...</dt>
<dd>Not used.</dd>

</dl>

Corrected Akaike information criterion and number of observations

AICc: Corrected Akaike information criterion and number of observations

Description

Usage

Arguments

Author