Provides methods for extracting results from mixed-effect model
objects fit with the 'lme4' package. Allows construction of prediction intervals
efficiently from large scale linear and generalized linear mixed-effects models.

Tools for Analyzing Mixed Effect Regression Models

package-ubuntu-20.04-r-4.0.5#cran#merTools-0.5.2

## S3 method for class 'mm'
sum(
  object,
  correlation = (p <= getOption("lme4.summary.cor.max")),
  use.hessian = NULL,
  ...
)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>a merMod object</p>
</td>
</tr>
<tr valign="top">
<td><code>correlation</code></td>
<td>
<p>optional p value</p>
</td>
</tr>
<tr valign="top">
<td><code>use.hessian</code></td>
<td>
<p>logical</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional arguments to pass through</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#merTools-0.5.2#docs#sum.mm

sum.mm

Description

Usage

Arguments

Value

merTools

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`object`	a merMod object
`correlation`	optional p value
`use.hessian`	logical
`...`	additional arguments to pass through