influence.rlmerMod

Thin wrapper that returns the stacked influence matrix used by
<code>cooks.distance</code>. Cheaper to
call this once and pass the result back to <code>cooks.distance</code> via
<code>IF = .</code> than to recompute the numerical Jacobian twice.

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

influence.rlmerMod function

<dl><dt>model</dt>
<dd>An <code>rlmerMod</code> object.</dd>
<dt>do.coef</dt>
<dd>Ignored (kept for compatibility with the
<code><a href="/link/influence?package=robustlmm&version=3.5.0-2" data-mini-rdoc="robustlmm::influence">influence</a></code> generic).</dd>
<dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

Per-observation influence on \((\hat{\beta}, \hat{\sigma},
\hat{\theta})\) for an rlmerMod fit. — influence.rlmerMod

<dl>

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


<dt>do.coef</dt>
<dd>Ignored (kept for compatibility with the
<code><a href='https://rdrr.io/r/stats/lm.influence.html'>influence</a></code> generic).</dd>


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

</dl>

influence.rlmerMod: Per-observation influence on \((\hat{\beta}, \hat{\sigma}, \hat{\theta})\) for an rlmerMod fit.

Description

Usage

Value

Arguments

See Also