confint.lmeresamp

Calculates normal, basic, and percentile bootstrap confidence intervals 
from a <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

confint.lmeresamp function

<dl><dt>object</dt>
<dd>The lmeresamp object for which confidence intervals should be computed.</dd>
<dt>parm</dt>
<dd>not used</dd>
<dt>level</dt>
<dd>The level at which the confidence interval should be calculated.</dd>
<dt>type</dt>
<dd>A character string giving the type of confidence intervals that should be calculated. 
This should be a subset of <code>c("norm", "basic", "perc")</code> (for normal, basic, and percentile
bootstrap confidence intervals, respectively), or <code>"all"</code>.</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Calculate confidence intervals for a lmeresamp object — confint.lmeresamp

<dl>

<dt>object</dt>
<dd>The lmeresamp object for which confidence intervals should be computed.</dd>


<dt>parm</dt>
<dd>not used</dd>


<dt>level</dt>
<dd>The level at which the confidence interval should be calculated.</dd>


<dt>type</dt>
<dd>A character string giving the type of confidence intervals that should be calculated. 
This should be a subset of <code>c("norm", "basic", "perc")</code> (for normal, basic, and percentile
bootstrap confidence intervals, respectively), or <code>"all"</code>.</dd>


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

</dl>

confint.lmeresamp: Calculate confidence intervals for a lmeresamp object

Description

Usage

Value

Arguments