print.test_dim

Given the output from test_dim, 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

print.test_dim function

<dl><dt>x</dt>
<dd>output from test_dim</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 test_dim object — print.test_dim

<dl>

<dt>x</dt>
<dd>output from test_dim</dd>

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

</dl>

print.test_dim: Print the output of test_dim object

Description

Usage

Arguments

Author