.compute_re_Q_

Compute re Q for different values of tau2

internal

Meta-CART integrates classification and regression trees (CART) into meta-analysis. Meta-CART is a flexible approach to identify interaction effects between moderators in meta-analysis. The method is described in Dusseldorp et al. (2014) <doi:10.1037/hea0000018> and Li et al. (2017) <doi:10.1111/bmsp.12088>.

Juan Claramunt Gonzalez

metacart

Meta-CART: A Flexible Approach to Identify Moderators in
Meta-Analysis

Xinru Li

Elise Dusseldorp

Kaihua Liu

Juan Claramunt

Jacqueline Meulman

.compute_re_Q_ function

<dl><dt>x1</dt>
<dd>the effect size g in the unsplit leaves</dd>
<dt>x2</dt>
<dd>the sampling variance vi in the unsplit leaves</dd>
<dt>x3</dt>
<dd>the labels of nodes in the unsplit leaves</dd>
<dt>x4</dt>
<dd>tau2</dd>
<dt>xuni</dt>
<dd>the unique labels in the unsplit leaves</dd>
<dt>x5</dt>
<dd>the effect size g in the parent leaf</dd>
<dt>x6</dt>
<dd>the sampling variance vi in the parent leaf</dd></dl>

Arguments

Compute re Q for different values of tau2 — .compute_re_Q_

<dl>

<dt>x1</dt>
<dd>the effect size g in the unsplit leaves</dd>


<dt>x2</dt>
<dd>the sampling variance vi in the unsplit leaves</dd>


<dt>x3</dt>
<dd>the labels of nodes in the unsplit leaves</dd>


<dt>x4</dt>
<dd>tau2</dd>


<dt>xuni</dt>
<dd>the unique labels in the unsplit leaves</dd>


<dt>x5</dt>
<dd>the effect size g in the parent leaf</dd>


<dt>x6</dt>
<dd>the sampling variance vi in the parent leaf</dd>

</dl>

.compute_re_Q_: Compute re Q for different values of tau2

Description

Usage

Arguments