plot.lmeresamp

Generate a density plot with a half-eye plot representing the 68
percentile intervals from an <code>lmeresamp</code> object.

Bootstrap routines for nested linear mixed effects models fit using
either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the
parametric, residual, cases, random effect block (REB), and wild bootstrap
procedures. An overview of these procedures can be found
in Van der Leeden et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>,
Carpenter, Goldstein & Rasbash (2003) <doi: 10.1111/1467-9876.00415>,
and Chambers & Chandra (2013) <doi: 10.1080/10618600.2012.681216>.

Adam Loy

lmeresampler

Bootstrap Methods for Nested Linear Mixed-Effects Models

Spenser Steele

Jenna Korobova

plot.lmeresamp function

<dl><dt>x</dt>
<dd>The lmeresamp object to plot.</dd>
<dt>var</dt>
<dd>The estimated parameter to plot, as a string or column number.</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Plot bootstrap results — plot.lmeresamp

<dl>

<dt>x</dt>
<dd>The lmeresamp object to plot.</dd>


<dt>var</dt>
<dd>The estimated parameter to plot, as a string or column number.</dd>


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

</dl>

plot.lmeresamp: Plot bootstrap results

Description

Usage

Arguments