ranef.LmME

The <code>condVar</code> option is not implemented for <code>ranef.LmME</code>.
Setting <code>raw=TURE</code> will return the raw random effects estimates from
the transformation model parametrization.

Likelihood-based estimation of mixed-effects transformation models
using the Template Model Builder ('TMB', Kristensen et al., 2016)
<doi:10.18637/jss.v070.i05>. The technical details of transformation models
are given in Hothorn et al. (2018) <doi:10.1111/sjos.12291>. Likelihood
contributions of exact, randomly censored (left, right, interval) and
truncated observations are supported. The random effects are assumed to be
normally distributed on the scale of the transformation function, the
marginal likelihood is evaluated using the Laplace approximation, and the
gradients are calculated with automatic differentiation (Tamasi & Hothorn,
2021) <doi:10.32614/RJ-2021-075>. Penalized smooth shift terms can be
defined using 'mgcv'.

Balint Tamasi

tramME

Transformation Models with Mixed Effects

Torsten Hothorn

ranef.LmME function

<dl><dt>object</dt>
<dd>A fitted LmME object.</dd>
<dt>as.lm</dt>
<dd>If <code>TRUE</code>, return the transformed conditional modes as in a
normal linear mixed effects model.</dd>
<dt>...</dt>
<dd>Optional parameters passed to <code>ranef.tramME</code>.</dd></dl>

Arguments

Extract the conditional modes of random effects of an LmME model — ranef.LmME

<dl>

<dt>object</dt>
<dd>A fitted LmME object.</dd>


<dt>as.lm</dt>
<dd>If <code>TRUE</code>, return the transformed conditional modes as in a
normal linear mixed effects model.</dd>


<dt>...</dt>
<dd>Optional parameters passed to <code>ranef.tramME</code>.</dd>

</dl>

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ranef.LmME: Extract the conditional modes of random effects of an LmME model

Description

Usage

Value

Arguments

Examples