summary.est_multi_poly_clust

Given the output from est_multi_poly_clust, 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.est_multi_poly_clust function

<dl><dt>object</dt>
<dd>output from est_multi_poly_clust</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 est_multi_poly_clust object — summary.est_multi_poly_clust

<dl>

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

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

</dl>

summary.est_multi_poly_clust: Print the output of est_multi_poly_clust object

Description

Usage

Arguments

Author