lk_obs_score_between

par_comp

lpar

number of latent classes for the latent variable

number of dimensions for the latent variable

number of response categories for each item

link

disc

indga

indicator of global parametrization for the covariates

glob

refitem

indicator of presence of missing responses

miss

ltype

array of covariates for the latent variable

XXdis

Xlabel

fort

Function used within <code>est_multi_poly_between</code> to compute observed log-likelihood and score.

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.

lk_obs_score_between: Compute observed log-likelihood and score

Description

Usage

Arguments

Value