REmrt_GS_

A function to fit the tree with look-ahead option

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

REmrt_GS_ function

<dl><dt>mf</dt>
<dd>the data.frame to grow the tree</dd>
<dt>maxL</dt>
<dd>the maximum number of splits</dd>
<dt>minbucket</dt>
<dd>the minimum number of the studies in a terminal node</dd>
<dt>minsplit</dt>
<dd>the minimal number of studies in a parent node to be split</dd>
<dt>cp</dt>
<dd>the stopping rule for decrease of between-subgroups Q. Any split that does not decrease the between-subgroups Q is not attempted.</dd>
<dt>lookahead</dt>
<dd>an argument indicating whether to apply the "look-ahead" strategy when fitting the tree</dd></dl>

Arguments

A function to fit the tree with look-ahead option — REmrt_GS_

<dl>

<dt>mf</dt>
<dd>the data.frame to grow the tree</dd>


<dt>maxL</dt>
<dd>the maximum number of splits</dd>


<dt>minbucket</dt>
<dd>the minimum number of the studies in a terminal node</dd>


<dt>minsplit</dt>
<dd>the minimal number of studies in a parent node to be split</dd>


<dt>cp</dt>
<dd>the stopping rule for decrease of between-subgroups Q. Any split that does not decrease the between-subgroups Q is not attempted.</dd>


<dt>lookahead</dt>
<dd>an argument indicating whether to apply the "look-ahead" strategy when fitting the tree</dd>

</dl>

REmrt_GS_: A function to fit the tree with look-ahead option

Description

Usage

Value

Arguments