predict.TIRTfit

Predict trait scores of Thurstonian IRT models

Fit Thurstonian Item Response Theory (IRT) models in R. This
package supports fitting Thurstonian IRT models and its extensions using
'Stan', 'lavaan', or 'Mplus' for the model estimation. Functionality for
extracting results, making predictions, and simulating data is provided as
well. References:
Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>;
Bürkner et al. (2019) <doi:10.1177/0013164419832063>.

PaulChristian Buerkner

thurstonianIRT

Thurstonian IRT Models

Paul-Christian Bürkner

Angus Hughes

Trustees of Columbia University 

predict.TIRTfit function

<dl><dt>object</dt>
<dd>An object of class <code>TIRTfit</code>.</dd>
<dt>newdata</dt>
<dd>Optional <code>TIRTdata</code> object (created via
<code>make_TIRT_data</code>) containing data of new persons
for which trait scores should be predicted based on the fitted
model. If <code>NULL</code> (the default), trait scores are predicted
for the persons whose data was used to originally fit the model.</dd>
<dt>...</dt>
<dd>Further arguments passed to the underlying methods.</dd></dl>

Arguments

Predict trait scores of Thurstonian IRT models — predict.TIRTfit

<dl>

<dt>object</dt>
<dd>An object of class <code>TIRTfit</code>.</dd>


<dt>newdata</dt>
<dd>Optional <code>TIRTdata</code> object (created via
<code>make_TIRT_data</code>) containing data of new persons
for which trait scores should be predicted based on the fitted
model. If <code>NULL</code> (the default), trait scores are predicted
for the persons whose data was used to originally fit the model.</dd>


<dt>...</dt>
<dd>Further arguments passed to the underlying methods.</dd>

</dl>

predict.TIRTfit: Predict trait scores of Thurstonian IRT models

Description

Usage

Value

Arguments

Details