residuals.tramME

Calculates the score residuals of an intercept term fixed at 0.

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

residuals.tramME function

<dl><dt>object</dt>
<dd>A <code>tramME</code> object.</dd>
<dt>param</dt>
<dd>An optional named list of parameter values (beta and theta).
See details. Optionally, gamma elements can also be added, which leads to
'fixing' those random effects terms at the supplied values.</dd>
<dt>newdata</dt>
<dd>An optional <code>data.frame</code> of observations for which we
want to calculate the residuals.</dd>
<dt>fix_smooth</dt>
<dd>Logical; it is set to <code>TRUE</code> by default, if
<code>newdata</code> is supplied. The random effects parameters corresponding
the smooth terms are fixed and not fitted (posterior mode) to
<code>newdata</code> instead they are treated just like fixed effects
parameters. See details.</dd>
<dt>...</dt>
<dd>Optional arguments (for consistency with generic)</dd></dl>

Arguments

Residuals of a tramME model — residuals.tramME

<dl>

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


<dt>param</dt>
<dd>An optional named list of parameter values (beta and theta).
See details. Optionally, gamma elements can also be added, which leads to
'fixing' those random effects terms at the supplied values.</dd>


<dt>newdata</dt>
<dd>An optional <code>data.frame</code> of observations for which we
want to calculate the residuals.</dd>


<dt>fix_smooth</dt>
<dd>Logical; it is set to <code>TRUE</code> by default, if
<code>newdata</code> is supplied. The random effects parameters corresponding
the smooth terms are fixed and not fitted (posterior mode) to
<code>newdata</code> instead they are treated just like fixed effects
parameters. See details.</dd>


<dt>...</dt>
<dd>Optional arguments (for consistency with generic)</dd>

</dl>

residuals.tramME: Residuals of a tramME model

Description

Usage

Arguments

Examples