predict

Prediction method for objects of classes deriving from <code>lm_mat</code>

Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.

Jeffrey Dahlke

psychmeta

Psychometric Meta-Analysis Toolkit

Jeffrey A. Dahlke

Brenton M. Wiernik

Wesley Gardiner

Michael T. Brannick

Jack Kostal

Sean Potter

John Sakaluk

Yuejia (Mandy) Teng

predict function

<dl><dt>object</dt>
<dd>Object of class inheriting from "lm_mat"</dd>
<dt>newdata</dt>
<dd>An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd>
<dt>se.fit</dt>
<dd>A switch indicating if standard errors are required.</dd>
<dt>df</dt>
<dd>Degrees of freedom for scale.</dd>
<dt>interval</dt>
<dd>Type of interval calculation. Can be abbreviated.</dd>
<dt>level</dt>
<dd>Tolerance/confidence level.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Prediction method for objects of classes deriving from lm_mat — predict

<dl>

<dt>object</dt>
<dd>Object of class inheriting from "lm_mat"</dd>


<dt>newdata</dt>
<dd>An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd>


<dt>se.fit</dt>
<dd>A switch indicating if standard errors are required.</dd>


<dt>df</dt>
<dd>Degrees of freedom for scale.</dd>


<dt>interval</dt>
<dd>Type of interval calculation. Can be abbreviated.</dd>


<dt>level</dt>
<dd>Tolerance/confidence level.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

Prediction method for objects of classes deriving from <code>lm_mat</code>

predict: Prediction method for objects of classes deriving from `lm_mat`

Description

Value

Arguments