augment.clmm

the <code>tidy</code> method for <code>clmm</code> objects (from the
<code>ordinal</code> package) lives in the <code>broom</code> package.

Convert fitted objects from various R mixed-model packages
into tidy data frames along the lines of the 'broom' package.
The package provides three
S3 generics for each model: tidy(), which summarizes a model's statistical findings such as
coefficients of a regression; augment(), which adds columns to the original
data such as predictions, residuals and cluster assignments; and glance(), which
provides a one-row summary of model-level statistics.

Ben Bolker

broom.mixed

Tidying Methods for Mixed Models

David Robinson

Dieter Menne

Jonah Gabry

Paul Buerkner

Christopher Hua

William Petry

Joshua Wiley

Patrick Kennedy

Eduard Szöcs

Indrajeet Patil

Vincent Arel-Bundock

Bill Denney

Cory Brunson

Joe Wasserman

Alexey Stukalov

Matthieu Bruneaux

augment.clmm function

<dl><dt>x</dt>
<dd>An object of class <code>merMod</code>, such as those from <code>lmer</code>,
<code>glmer</code>, or <code>nlmer</code></dd>
<dt>data</dt>
<dd>original data this was fitted on; if not given this will
attempt to be reconstructed</dd>
<dt>newdata</dt>
<dd>new data to be used for prediction; optional</dd>
<dt>...</dt>
<dd>Additional arguments (passed to <code>confint.merMod</code> for <code>tidy</code>; <code>augment_columns</code> for <code>augment</code>; ignored for <code>glance</code>)</dd></dl>

Arguments

name ordinal_tidiers — augment.clmm

<dl>

<dt>x</dt>
<dd>An object of class <code>merMod</code>, such as those from <code>lmer</code>,
<code>glmer</code>, or <code>nlmer</code></dd>


<dt>data</dt>
<dd>original data this was fitted on; if not given this will
attempt to be reconstructed</dd>


<dt>newdata</dt>
<dd>new data to be used for prediction; optional</dd>


<dt>...</dt>
<dd>Additional arguments (passed to <code>confint.merMod</code> for <code>tidy</code>; <code>augment_columns</code> for <code>augment</code>; ignored for <code>glance</code>)</dd>

</dl>

name ordinal_tidiers

augment.clmm: name ordinal_tidiers

Description

Usage

Arguments