residuals.LmME

Calculates the score residuals of an intercept term fixed at 0.
In the case of an LmME model, this is equal to the residual of an LMM.

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.LmME function

<dl><dt>object</dt>
<dd>An <code>LmME</code> object.</dd>
<dt>as.lm</dt>
<dd>If <code>TRUE</code>, return the residuals as in a normal linear
mixed effects model.</dd>
<dt>...</dt>
<dd>Optional arguments (for consistency with generic)</dd></dl>

Arguments

Residuals of a LmME model — residuals.LmME

<dl>

<dt>object</dt>
<dd>An <code>LmME</code> object.</dd>


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


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

</dl>

residuals.LmME: Residuals of a LmME model

Description

Usage

Arguments

Examples