llikAIC

This function is assembles the values used by <code>summary.galamm</code>.

internal

Estimates generalized additive latent and
mixed models using maximum marginal likelihood,
as defined in Sorensen et al. (2023)
<doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and
Skrondal (2004)'s unifying framework for multilevel latent variable
modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse
matrix methods, Laplace approximation, and automatic differentiation. The
framework includes generalized multilevel models with heteroscedastic
residuals, mixed response types, factor loadings, smoothing splines,
crossed random effects, and combinations thereof. Syntax for model
formulation is close to 'lme4' (Bates et al. (2015)
<doi:10.18637/jss.v067.i01>) and 'PLmixed' (Rockwood and Jeon (2019)
<doi:10.1080/00273171.2018.1516541>).

Oystein Sorensen

galamm

Generalized Additive Latent and Mixed Models

Øystein Sørensen

Douglas Bates

Ben Bolker

Martin Maechler

Allan Leal

Fabian Scheipl

Steven Walker

Simon Wood

llikAIC function

<dl><dt>object</dt>
<dd>Object of class <code>galamm</code> returned from
<code>galamm</code>.</dd></dl>

Arguments

Extract log likelihood, AIC, and related statistics from a GALAMM — llikAIC

<dl>

<dt>object</dt>
<dd>Object of class <code>galamm</code> returned from
<code>galamm</code>.</dd>

</dl>

Extract log likelihood, AIC, and related statistics from a GALAMM

llikAIC: Extract log likelihood, AIC, and related statistics from a GALAMM

Description

Usage

Value

Arguments

See Also