combine_pvals

Combines bootstrap p-values from processes split for parallelization.

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

combine_pvals function

<dl><dt>...</dt>
<dd>two or more summary data frames produced by <code>bootstrap_pvals</code>.</dd></dl>

Arguments

Combine p-values — combine_pvals

<dl>

<dt>...</dt>
<dd>two or more summary data frames produced by <code>bootstrap_pvals</code>.</dd>

</dl>

combine_pvals: Combine p-values

Description

Usage

Arguments

Details