residuals.nlmm

The residuals at level 0 correspond to population residuals (based only on the fixed effects estimates). The residuals at level 1 are obtained by adding the best linear predictions of the random effects to the predictions at level 0 and the subtracting these from the model response.

residuals

Provides functions to fit linear mixed models
based on convolutions of the generalized Laplace (GL) distribution.
The GL mixed-effects model includes four special cases with normal random
effects and normal errors (NN), normal random effects and Laplace errors (NL),
Laplace random effects and normal errors (LN), and Laplace random effects
and Laplace errors (LL). The methods are described in Geraci and Farcomeni (2020,
Statistical Methods in Medical Research) <doi:10.1177/0962280220903763>.

Marco Geraci

nlmm

Generalized Laplace Mixed-Effects Models

Alessio Farcomeni

residuals.nlmm function

<dl> <dt>object</dt>
<dd>an <code>nlmm</code> object.</dd> <dt>level</dt>
<dd>an optional integer vector giving the level of grouping to be used in obtaining the predictions. Level zero corresponds to the population residuals.</dd> <dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Author

Residuals from an nlmm Object — residuals.nlmm

<dl>

 <dt>object</dt>
<dd>an <code>nlmm</code> object.</dd>

 <dt>level</dt>
<dd>an optional integer vector giving the level of grouping to be used in obtaining the predictions. Level zero corresponds to the population residuals.</dd>

 <dt>...</dt>
<dd>not used.</dd>

</dl>

residuals.nlmm: Residuals from an `nlmm` Object

Description

Usage

Value

Arguments

Author

References

See Also