hatvalues.rlmerMod

The self-leverage \(A_{ii}\) of each observation in the robust,
random-effect-whitened convolution that the estimator uses internally
-- the robust analogue of the linear mixed-model hat value. It
reduces to the classical <code><a href="/link/lmer?package=robustlmm&version=3.5.0-2" data-mini-rdoc="robustlmm::lmer">lmer</a></code> leverage at the
non-robust limit (<code>rho = cPsi</code>); at the robust default the
effective degrees of freedom \(\sum_i A_{ii}\) differ as
downweighting changes each observation's pull. With <code>groups</code> set,
the per-observation leverages are summed within each cluster, giving
the cluster's leverage (its effective-df contribution).

Implements the Robust Scoring Equations estimator to fit linear
mixed effects models robustly.
Robustness is achieved by modification of the scoring equations
combined with the Design Adaptive Scale approach.

Manuel Koller

robustlmm

Robust Linear Mixed Effects Models

hatvalues.rlmerMod function

<dl><dt>model</dt>
<dd>An <code>rlmerMod</code> object.</dd>
<dt>groups</dt>
<dd>Leverage aggregation: <code>NULL</code> (default) for
per-observation; <code>TRUE</code> for the top-level grouping factor; or a
factor / grouping-factor name to aggregate over.</dd>
<dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

The self-leverage \(A_{ii}\) of each observation in the robust,
random-effect-whitened convolution that the estimator uses internally
-- the robust analogue of the linear mixed-model hat value. It
reduces to the classical <code><a href='https://rdrr.io/pkg/lme4/man/lmer.html'>lmer</a></code> leverage at the
non-robust limit (<code>rho = cPsi</code>); at the robust default the
effective degrees of freedom \(\sum_i A_{ii}\) differ as
downweighting changes each observation's pull. With <code>groups</code> set,
the per-observation leverages are summed within each cluster, giving
the cluster's leverage (its effective-df contribution).

Robust leverage (hat values) for an rlmerMod fit. — hatvalues.rlmerMod

<dl>

<dt>model</dt>
<dd>An <code>rlmerMod</code> object.</dd>


<dt>groups</dt>
<dd>Leverage aggregation: <code>NULL</code> (default) for
per-observation; <code>TRUE</code> for the top-level grouping factor; or a
factor / grouping-factor name to aggregate over.</dd>


<dt>...</dt>
<dd>Currently unused.</dd>

</dl>

hatvalues.rlmerMod: Robust leverage (hat values) for an rlmerMod fit.

Description

Usage

Value

Arguments

See Also