smooth_terms.LmME

Evaluate smooth terms of a <code>LmME</code> model.

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

smooth_terms.LmME function

<dl><dt>object</dt>
<dd>A <code>tramME</code> object.</dd>
<dt>as.lm</dt>
<dd>Logical; if <code>TRUE</code> return the rescaled values according to a LMM
parametrization.</dd>
<dt>k</dt>
<dd>Integer, the number of points to be used to evaluate the smooth terms.
Ignored when <code>newdata</code> is supplied.</dd>
<dt>newdata</dt>
<dd>A <code>data.frame</code> with new values for the smooth terms.
If <code>NULL</code>, the new data is set up based on the <code>model.frame</code> and
<code>k</code>. Smooths for which the supplied information in this input is incomplete
will be ignored.</dd>
<dt>...</dt>
<dd>Optional arguments. <code>as.lm</code> is passed through this when it is necessary.</dd></dl>

Arguments

Evaluate smooth terms of a LmME model. — smooth_terms.LmME

<dl>

<dt>object</dt>
<dd>A <code>tramME</code> object.</dd>


<dt>as.lm</dt>
<dd>Logical; if <code>TRUE</code> return the rescaled values according to a LMM
parametrization.</dd>


<dt>k</dt>
<dd>Integer, the number of points to be used to evaluate the smooth terms.
Ignored when <code>newdata</code> is supplied.</dd>


<dt>newdata</dt>
<dd>A <code>data.frame</code> with new values for the smooth terms.
If <code>NULL</code>, the new data is set up based on the <code>model.frame</code> and
<code>k</code>. Smooths for which the supplied information in this input is incomplete
will be ignored.</dd>


<dt>...</dt>
<dd>Optional arguments. <code>as.lm</code> is passed through this when it is necessary.</dd>

</dl>

smooth_terms.LmME: Evaluate smooth terms of a `LmME` model.

Description

Usage

Value

Arguments

Examples