summary.class_item

Given the output from class_item, it is written in a readable form

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version (since 2.1).

Francesco Bartolucci

MultiLCIRT

Multidimensional Latent Class Item Response Theory Models

Silvia Bacci

Michela Gnaldi

summary.class_item function

<dl><dt>object</dt>
<dd>output from class_item</dd><dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Francesco Bartolucci - University of Perugia (IT)

Author

Print the output of class_item object — summary.class_item

<dl>

<dt>object</dt>
<dd>output from class_item</dd>

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

</dl>

summary.class_item: Print the output of class_item object

Description

Usage

Value

Arguments

Author