predict.FEmrt

Returns a data frame of predicted effect sizes and moderators from a fitted metacart object

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

predict.FEmrt function

<dl><dt>object</dt>
<dd>fitted model object of class "FEmrt".</dd>
<dt>newdata</dt>
<dd>data frame containing the values for which predictions are required.</dd>
<dt>...</dt>
<dd>Arguments that pass to other methods.</dd></dl>

Arguments

Predictions from a fitted FE metacart object — predict.FEmrt

<dl>

<dt>object</dt>
<dd>fitted model object of class "FEmrt".</dd>


<dt>newdata</dt>
<dd>data frame containing the values for which predictions are required.</dd>


<dt>...</dt>
<dd>Arguments that pass to other methods.</dd>

</dl>

predict.FEmrt: Predictions from a fitted FE metacart object

Description

Usage

Value

Arguments