print.est_multi_poly_within

Given the output from est_multi_poly_within, the call of it is written

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.

Francesco Bartolucci

MLCIRTwithin

Latent Class Item Response Theory (LC-IRT) Models under
Within-Item Multidimensionality

Silvia Bacci

print.est_multi_poly_within function

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

Arguments

Francesco Bartolucci - University of Perugia (IT)

Author

Print the call of est_multi_poly_within object — print.est_multi_poly_within

<dl>

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

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

</dl>

print.est_multi_poly_within: Print the call of est_multi_poly_within object

Description

Usage

Arguments

Author